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CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:Flavins are one of life's earliest catalysts and continue to p lay critical roles in the energy metabolism required to support life's co mplexity. The flavin's virtuosity and versatility enable it to mediate di verse reactions\, making it one of life's go-to cofactors. However in any one role\, the host protein must ensure that the flavin is optimized for a single function and others are suppressed. In bifurcating electron tra nsfer flavoproteins\, two chemically identical flavins play contrasting r oles. We are combining biochemical experiments\, spectroscopy and comput ation to learn how individual hydrogen bonds\, local electrostatics\, del ocalized hydrogen bond networks and domain-scale conformational changes d etermine and respond to flavin activity. DURATION:PT1H DTSTAMP:20240210T030653Z DTSTART;TZID=America/New_York:20240226T120000 LAST-MODIFIED:20240210T030653Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Quantum Computational Insights Into the Chemical Versatility and S pectral Signatures of Flavins UID:CAL-8a0292fd-8d13410f-018d-90fa3d85-00007c8fdemobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,":Biostatistics and Bioinformatic s\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Gen omics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Anne-Frances Miller X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Anne-Frances Miller\, PhD\, Distinguished Profes sor\, Arts and Sciences at University of Kentucky X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Anne-Frances Miller canva photo_2024021003 0534AM.png X-BEDEWORK-THUMB-IMAGE:/public/Images/Anne-Frances Miller canva photo_2024 0210030534AM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:Early identification of autism\, ADHD\, and other neurodevelop mental conditions is important to ensure children receive appropriate dev elopmental support and thereby optimize long term outcomes. Early correla tes of these conditions are documented in the electronic health record (E HR) during routine care\, and our previous work has shown that EHR data c an be leveraged to predict autism and ADHD likelihood with clinically mea ningful accuracy prior to age 1. Much like other EHR-based prediction tas ks\, this task is challenging due to the high-dimensional\, multi-modal\, irregularly observed nature of the relevant predictors. Additionally\, o ther challenges are amplified due to the breadth of the target population (all children) and length of time between prediction and outcome (severa l years). Specifically\, there is substantial variability in the quantity and quality of data available for prediction\, average follow-up length is much lower than average time to diagnosis\, and time to diagnosis is a ffected by systemic biases associated with the diagnosis process. This ta lk will explore methods we have developed in response to these challenges \, with emphasis on a neural mixture cure model designed to disentangle f actors affecting the age at diagnosis from factors affecting lifetime dia gnosis probability. DURATION:PT1H DTSTAMP:20240226T141451Z DTSTART;TZID=America/New_York:20240304T120000 LAST-MODIFIED:20240226T141451Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Methods for Long-Horizon Event Prediction from Electronic Health R ecord Data UID:CAL-8a0292fd-8d13410f-018d-e5c415ba-00001d5ddemobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,":Biostatistics and Bioinformatic s\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Gen omics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Matt Engelhard X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Matt Engelhard\, Phd\, Assistant Professor\, Dep artment of Biostatistics and Bioinformatics\, Duke University X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Matt Engelhard canva photo_20240226021409P M.png X-BEDEWORK-THUMB-IMAGE:/public/Images/Matt Engelhard canva photo_202402260 21409PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:Genetic prediction of molecular traits help bridge the gap bet ween genotype and phenotype especially by integrating them with GWAS stud ies. These prediction models are trained using reference datasets where h undreds of individuals with genotype and omics data are collected. Emergi ng methods in deep learning using state of the art architectures such as transformers promise to improve prediction approaches and reduced the nec essary sample sizes. I will discuss current opportunities and challenges of deep learning approaches to inform the biology of complex diseases. DURATION:PT1H DTSTAMP:20240302T223937Z DTSTART;TZID=America/New_York:20240318T120000 LAST-MODIFIED:20240302T223937Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Incorporating Deep Learning Methods to Complex Trait Genetics UID:CAL-8a0292fd-8d13410f-018e-015064d8-00004ba1demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,":Biostatistics and Bioinformatic s\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Gen omics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Hae Kyung Im X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Hae Kyung Im\, PhD\, Associate Professor\, Depar tment of Human Genetics at the University of Chicago X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Hae Kyung Im canva photo_20240302103709PM. png X-BEDEWORK-THUMB-IMAGE:/public/Images/Hae Kyung Im canva photo_20240302103 709PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:The rapid development of single-cell and spatial omics technol ogies has propelled fast advances in computational algorithms. However\, the statistical rigor in data analysis has been often overlooked. Motivat ed by the mandatory use of negative controls in experiments\, I propose t o enhance the reliability of single-cell and spatial omics data analysis by using synthetic negative controls generated based on real data under s pecific null hypotheses. I will demonstrate this strategy using two stati stical methods my group developed. First\, using permutation to generate a synthetic negative control in which cell-cell relationships are disrupt ed\, we developed a statistical method\, scDEED (https://doi.org/10.1101/ 2023.04.21.537839)\, to detect dubious two-dimensional cell embeddings\, crucial for single-cell data visualization\, and to optimize the hyperpar ameters of embedding methods such as t-SNE and UMAP. Second\, using our s imulator scDesign3 (https://www.nature.com/articles/s41587-023-01772-1) t o generate synthetic null controls\, we developed a statistical method\, ClusterDE (https://doi.org/10.1101/2023.07.21.550107)\, to identify poten tial cell-type markers (or spatial domain markers) from differential expr ession (DE) analysis applied to potential cell types (or spatial domains) identified through clustering analysis. Overall\, leveraging synthetic n egative controls is an effective strategy to increase the statistical rig or of complex data analysis and thus improve the reliability of analysis results. DURATION:PT1H DTSTAMP:20240304T022444Z DTSTART;TZID=America/New_York:20240325T120000 LAST-MODIFIED:20240304T022444Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Enhancing Statistical Rigor in Single-Cell and Spatial Omics Data Analysis Using Synthetic Negative Controls UID:CAL-8a0292fd-8d13410f-018e-05d8c1cc-000060b8demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,":Biostatistics and Bioinformatic s\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Gen omics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Jessica Li X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:-0.3333333333333144 X-BEDEWORK-IMAGE-X2:530 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:530 X-BEDEWORK-IMAGE-CROP-HEIGHT:353.3333333333333 X-BEDEWORK-IMAGE-ALT-TEXT:Jessica Li\, PhD\, Professor in the Department o f Statistics University of California\, Los Angeles X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Jessica Li canva photo_20240304022444AM.pn g X-BEDEWORK-THUMB-IMAGE:/public/Images/Jessica Li canva photo_2024030402244 4AM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:Efforts to repurpose CRISPR-Cas systems have produced a suite of genome editing tools\, including programmable nucleases\, base editors \, and prime editors. These tools have greatly enabled the study of genom es and gene function\, and their advancement to therapeutic development h as demonstrated promise for addressing a host of unmet medical needs. Our understanding of how endogenous cellular processes influence the activit y of these tools\, however\, lags far behind their application and\, due to the rapid pace of technology development\, behind efforts to build new approaches. Our work focuses on identifying cellular determinants of gen ome editing tools to better understand how they work. Our results provide key insights into how those tools interact with the cellular environment and suggest general strategies for improvement. DURATION:PT1H DTSTAMP:20240318T202436Z DTSTART;TZID=America/New_York:20240401T120000 LAST-MODIFIED:20240318T202436Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Mapping the Cellular Determinants of Genome Editing in Human Cell s UID:CAL-8a0292fd-8d13410f-018e-521ac7ab-00004a0bdemobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Pratt_CAG T,/principals/users/agrp_CenterforGenomicandComputationalBiology,/princip als/users/agrp_AGPM_Collaboratory,/principals/users/agrp_SchoolofMedicine ,":Biostatistics and Bioinformatics\,Center for Advanced Genomic Technolo gies\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Genomics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Britt Adamson X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Britt Adamson\, PhD\, Assistant Professor\, Mole cular Biology\, Lewis Sigler Institute of Integrative Genomics\, Princeto n University X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Britt Adamson canva photo_20240318030750PM .png X-BEDEWORK-THUMB-IMAGE:/public/Images/Britt Adamson canva photo_2024031803 0750PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:Single-cell paired multi-omic data\, such as jointly sequenced RNA and ATAC via 10x Multiome\, has been widely adopted to study the reg ulatory mechanisms in different biological systems. However\, there are s till open questions on how to broadly measure the coordination between th ese two modalities within individual cells and account for the changing c oordination over time. In this talk\, we discuss two different lines of w ork with similar themes that model the RNA-ATAC coordination holistically . In the first half of the talk regarding cortical development\, we prese nt the Tilted-CCA\, a new statistical decomposition that uncovers the com mon and modality-unique geometric relations among cells. This decompositi on gives us a new perspective for studying development since a gradual in crease and decrease of RNA-ATAC coordination can mathematically quantify the poised chromatin state. In the second half of the talk regarding canc er resistance\, we present a cell-wise lineage imputation score. This sta tistical regression method uses static lineage barcoding data that our co llaborators have developed to work with the 10x Multiome. Our method offe rs new insight into cancer resistance mechanisms\, as our statistical met hod can assess how many progenies each cancer cell is likely to produce a t a future time. This method allows us to quantify how a cancer subclone' s lineage size\, its RNA+ATAC profile\, and its plasticity contribute tow ards said subclone's resistant behavior. DURATION:PT1H DTSTAMP:20240325T182308Z DTSTART;TZID=America/New_York:20240408T120000 LAST-MODIFIED:20240325T182308Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Single-Cell Paired RNA & ATAC: Surveying broad multi-modal coordin ation in development and cancer resistance UID:CAL-8a0292fd-8d13410f-018e-76d950f6-00003842demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,":Biostatistics and Bioinformatic s\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Gen omics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Kevin Lin X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Kevin Lin\, PhD\, Assistant Professor in the Sch ool of Public Health\, Biostatistics at University of Washington X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Kevin Lin canva photo_20240325062216PM.png X-BEDEWORK-THUMB-IMAGE:/public/Images/Kevin Lin canva photo_20240325062216 PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:The Lareau lab works to decipher the layers of information enc oded in the genome that specify cellular form and function. We use machin e learning and high throughput experiments to model how sequence determin es the output of the genome as it is transcribed into RNA then translated into protein. DURATION:PT1H DTSTAMP:20240329T134421Z DTSTART;TZID=America/New_York:20240415T120000 LAST-MODIFIED:20240329T134421Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Engineering Poison Exons to Treat Huntington’s Disease UID:CAL-8a0292fd-8d13410f-018e-8a741099-00001c4cdemobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_AGPM_Coll aboratory,/principals/users/agrp_SchoolofMedicine,":Biostatistics and Bio informatics\,Precision Genomics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Liana Lareau X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Liana Lareau\, PhD\, Assistant Professor in the Department of Bioengineering at the University of California\, Berkeley X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Liana Lareau canva photo_20240329014405PM. png X-BEDEWORK-THUMB-IMAGE:/public/Images/Liana Lareau canva photo_20240329014 405PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Main CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None CREATED:20230828T005529Z DESCRIPTION:The Department of Chemistry is excited to host Lisa Olshansky (University of Illinois Urbana-Champaign)\nTo learn more about the Olshan sky lab's work\, please visit their research page: https://www.olshanskyl ab.chemistry.illinois.edu/\n\nEmergent Properties from Dynamicity: \nInve stigating Conformational Control in Biomimetic Inorganic Systems\nFrom th e reduction of dinitrogen to the oxidation of water\, the chemical transf ormations catalyzed by metalloenzymes underpin global geo- and biochemica l cycles. These reactions represent some of the most kinetically and ther modynamically challenging processes known. Interestingly\, rate-limiting conformational changes precede catalysis in many metalloenzymes. The perv asiveness of this mechanistic pattern suggests that conformational gating may play an important role in mediating challenging chemical transformat ions in an energy-efficient manner. However\, these enzymes are extremely complex\, rendering direct examination of their conformational gating st eps a tremendous challenge. Instead\, we have taken the unique approach o f preparing model systems in which macroscopic changes in the molecular s tructure of a ligand or protein host give rise to subatomic changes in th e electronic structure of a bound metal ion. These systems include both c onformationally dynamic coordination complexes and conformationally switc hable artificial metalloproteins. In both cases\, exciting new properties have emerged from the structural dynamicity at play. Ultimately\, our wo rk with these systems aims to define and quantify the kinetic and thermod ynamic consequences of conformational gating mechanisms. Additionally\, t he systems under development are molecular switches and can also be explo ited in applications ranging from solar energy conversion\, to biomedical imaging\, to green methods in chemical catalysis.\n\nHosted by Kathy Fra nz DURATION:PT1H DTSTAMP:20240415T150746Z DTSTART;TZID=America/New_York:20240417T150000 LAST-MODIFIED:20240415T150746Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Chemistry Seminar Presented by Prof. Lisa Olshansky: Emergent Prop erties from Dynamicity: Investigating Conformational Control in Biomimet ic Inorganic Systems UID:CAL-8a02906b-8a0a73d8-018a-39a37c31-000073a3demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-STUDENT-CONTACT;X-BEDEWORK-PARAM-EMAIL=chem-office@duke.edu:Che m Admin Office X-BEDEWORK-SPEAKER:Lisa Olshansky\, University of Illinois Urbana-Champaig n X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:92 X-BEDEWORK-IMAGE-X2:1936 X-BEDEWORK-IMAGE-Y2:1382.6666666666667 X-BEDEWORK-IMAGE-CROP-WIDTH:1936 X-BEDEWORK-IMAGE-CROP-HEIGHT:1290.6666666666667 X-BEDEWORK-IMAGE-ALT-TEXT:Lisa Olshansky X-BEDEWORK-SUBMITTEDBY:lao26 for Chemistry (agrp_ArtsandSciences_Chemistry ) X-BEDEWORK-IMAGE:/public/Images/Headshot_Olshansky_20240321022942PM.jpeg X-BEDEWORK-THUMB-IMAGE:/public/Images/Headshot_Olshansky_20240321022942PM- thumb.png X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Institu tes_MaterialsScienceandEngineering,/principals/users/agrp_PrattSchool_MEM S,":Duke Materials Initiative\,Mechanical Engineering and Materials Scien ce (MEMS) END:VEVENT BEGIN:VEVENT CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Main CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None CREATED:20240418T182025Z DESCRIPTION:NC SER Symposium\n\nCharlie Cox will be hosting Regis Komperda (San Diego State University) for a seminar.\n\nMeasurement in chemistry education: Examining the past and supporting the future \n \nAs with any field of scientific research\, the ability to draw meaningful conclusions in chemistry education research (CER) is dependent on the use of appropr iate research methods\, including the selection of measurement instrument s (e.g.\, tests\, surveys\, concept inventories\, etc.) that will generat e high quality data about students and classrooms. This talk will discuss how CER has approached the concept of measurement quality (i.e.\, validi ty and reliability) and why the adoption of data quality standards is imp ortant for the development\, evaluation\, and dissemination of instrument s.\n\nCurrent research on measurement quality in CER will be presented to show the practical application of these standards for measuring student attitudes and motivation in introductory chemistry courses. An NSF-suppor ted resource for finding chemistry education instruments and their associ ated data quality evidence\, the CHemistry Instrument Review and Assessme nt Library (CHIRAL\; chiral.chemedx.org)\, will be highlighted to support educators and researchers in finding instruments suitable for both class room and research contexts.\n\nThe Chemistry Instrument Review and Assess ment Library (CHIRAL) contains a catalog of over 500 assessment instrumen ts that is searchable by domain\, topic\, or format. Each listing in CHIR AL includes metadata (intended population\, language\, number of items\, etc.) and reported evidence for validity and reliability. Select instrume nts include a panel review report providing a synthesis of the reported v alidity and reliability evidence. CHIRAL also contains a glossary of comm on terms used in psychometric evaluations to help understand the informat ion in CHIRAL. \n\nTo learn more about the Komperda Goroup's work\, pleas e visit their page at https://komperda-cer.sdsu.edu/ DURATION:PT1H DTSTAMP:20240418T182025Z DTSTART;TZID=America/New_York:20240607T140000 LAST-MODIFIED:20240418T182025Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:NC CER Symposium Seminar: Regis Komperda presents: Measurement in chemistry education: Examining the past and supporting the future UID:CAL-8a0292fd-8d13410f-018e-f2703e16-00000d33demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-SPEAKER:Regis Komperda- San Diego State University X-BEDEWORK-STUDENT-CONTACT;X-BEDEWORK-PARAM-EMAIL=charlie.cox@duke.edu:Cha rlie Cox X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:417 X-BEDEWORK-IMAGE-X2:1913 X-BEDEWORK-IMAGE-Y2:1692.3333333333333 X-BEDEWORK-IMAGE-CROP-WIDTH:1913 X-BEDEWORK-IMAGE-CROP-HEIGHT:1275.3333333333333 X-BEDEWORK-IMAGE-ALT-TEXT:Komperda X-BEDEWORK-SUBMITTEDBY:lao26 for Chemistry (agrp_ArtsandSciences_Chemistry ) X-BEDEWORK-IMAGE:/public/Images/Komperda-Headshot-scaled_20240418062025PM. jpg X-BEDEWORK-THUMB-IMAGE:/public/Images/Komperda-Headshot-scaled_20240418062 025PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Conference/Symposium CATEGORIES:Main CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None CREATED:20220811T191533Z DESCRIPTION:Taylor Outlaw\, Ph.D. Candidate\n\nKatherine Franz Ph.D.\, Adv isor\n\nAbstract: Metals play a vital role in living organisms by regulat ing many essential life processes. Metal homeostasis is essential for a h ealthy cell\, as metal overload and metal starvation can largely affect h ow biomolecules interact with one another. For this reason\, cells from a ll kingdoms of life have evolved mechanisms to control metal content incl uding metal importers and exporters\, metal storage proteins\, metallocha perones\, and metal-induced transcription factors. \nThis dissertation wi ll focus on the role of zinc and copper in specific biological systems. \ nGlyceraldehyde-3-phosphate dehydrogenase (GAPDH) is a highly conserved e nzyme\, most famous for its role in glycolysis. Previous work by the Fran z and Fitzgerald labs showed that copper-induced structural stability of GAPDH from E. coli (ecGAPDH) alongside Cu2+-induced ecGAPDH inhibition in lysates. Building upon these findings\, my dissertation work characteriz ed the effects of copper on recombinant ecGAPDH through activity assays\, circular dichroism\, ICP-MS\, and copper-binding experiments. Both Cu2+ and Cu+ can inhibit the activity of ecGAPDH\, though inhibition occurs vi a distinct mechanisms. In the presence of excess metal\, ecGAPDH is capab le of binding multiple equivalents of copper\, without changes to global secondary structure. This leads us to question the role that ecGAPDH\, an d other homologs\, could play in intracellular copper trafficking. Next\, I present progress towards the antifungal mechanism of histatin-5\, a sa livary natural product with metal-dependent activity. The relationship be tween histatin-5\, copper\, zinc\, and Candida albicans has proven to be complex and is susceptible to changes in temperature and extracellular en vironment. This nuanced relationship is likely a part of the more complex oral microbiome\, which can use metals and metal chelating proteins as a n innate immune response. Finally\, I present my chemical education resea rch project\, sponsored by the Bonk Fellowship\, that analyzed second-sem ester organic chemistry students' problem-solving strategies\, specifical ly focusing on the resources activated while ranking the acidity of vario us organic molecules and solving problems on E2\, E1\, and E1cB eliminati on reactions. DURATION:PT1H DTSTAMP:20240523T113535Z DTSTART;TZID=America/New_York:20240614T110000 LAST-MODIFIED:20240523T113535Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Elucidating the role of metal-protein and metal-peptide interactio ns in microbial cellular stress UID:CAL-8a008ae5-8f05e4c1-018f-a53bede8-00007994demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Conference_Symposium:/user/p ublic-user/Lectures_Conferences/Conference_Symposium X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:1620 X-BEDEWORK-IMAGE-Y2:1080 X-BEDEWORK-IMAGE-CROP-WIDTH:1620 X-BEDEWORK-IMAGE-CROP-HEIGHT:1080 X-BEDEWORK-SUBMITTEDBY:cd111 for Chemistry (agrp_ArtsandSciences_Chemistry ) X-BEDEWORK-IMAGE-ALT-TEXT:Ph.D. Defense- Outlaw\, Taylor X-BEDEWORK-SPEAKER:Taylor Outlaw\, Ph.D. Candidate X-BEDEWORK-IMAGE:/public/Images/GRAD-Outlaw\,Taylor-06-14-24_2024052311351 8AM.jpg X-BEDEWORK-THUMB-IMAGE:/public/Images/GRAD-Outlaw\,Taylor-06-14-24_2024052 3113518AM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:My group is invested in the development of machine learning me thodology with applications in health and disease. Currently we are mostl y interested in leveraging representation learning and deep learning arch itectures to build models to represent data from different modalities suc h as longitudinal structured data (e.g.\, electronic health records)\, im ages (e.g.\, tomography\, ultrasound) and natural language (clinical narr ative)\, to be used in predictive tasks of relevance in healthcare. For i nstance\, classification or estimation of risk in diverse clinical outcom es\, and to address challenges associated with performance characterizati on in predictive models. DURATION:PT1H DTSTAMP:20240829T191011Z DTSTART;TZID=America/New_York:20240909T120000 LAST-MODIFIED:20240829T191011Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Applications of Deep Learning in Healthcare UID:CAL-8a00048d-91324965-0191-9f8ab2c5-00002a28demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,":Biostatistics and Bioinformatic s\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Gen omics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Ricardo Henao X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Ricardo Henao\, PhD\, Associate Professor\, Depa rtment of Biostatistics and Bioinformatics\, Duke University X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Ricardo Henao canva_20240829070912PM.png X-BEDEWORK-THUMB-IMAGE:/public/Images/Ricardo Henao canva_20240829070912PM -thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:I admit the title intentionally overstates the case. But many (most?) high-throughput biology datasets are based on aggregates\, where aggregation occurs during either the experiment or data post-processing. As a result\, any node in a graphical model of the data (e.g.\, Bayes net \, dynamic Bayes net\, Markov net\, point process\, or CRF) really is an aggregate of many idealized single-measurement nodes\, so the real model can be viewed as a high-dimensional tree-structured graphical model. We p rove that such models correspond to neural networks\, and also that every neural network can be viewed as such a model. Based on this theoretical result\, we discuss potential applications\, including causal neural netw orks and the potential for a future "foundation model" for health. We als o use examples from clinical data (such as EHRs) in addition to biologica l data. DURATION:PT1H DTSTAMP:20240905T164905Z DTSTART;TZID=America/New_York:20240916T120000 LAST-MODIFIED:20240905T164905Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Deep Neural Networks Really Are the Right Way for a Biostatisticia n to Analyze Biological Data or: How I Learned to Stop Worrying and Love the DNN UID:CAL-8a00048d-91324965-0191-c3159cee-000045b5demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,":Biostatistics and Bioinformatic s\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Gen omics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:David Page X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:David Page\, PhD\, JB Duke Professor and Chair o f the Department of Biostatistics &\;amp\; Bioinformatics at Duke Univ ersity X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/David Page canva photo_20240905044738PM.pn g X-BEDEWORK-THUMB-IMAGE:/public/Images/David Page canva photo_2024090504473 8PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:Our lab primarily focuses on mammalian olfaction\, pioneering the functional elucidation of odorant receptors. Our work includes large- scale characterization of odorant receptors and investigating human genet ic variations affecting odor perception. We have developed RNA sequencing -based techniques for identifying activated odorant receptors in behaving mice. Recently\, we contributed in resolving the first atomic structure of a mammalian odorant receptor\, advancing understanding of odorant bind ing and activation mechanisms. DURATION:PT1H DTSTAMP:20240919T201735Z DTSTART;TZID=America/New_York:20240923T120000 LAST-MODIFIED:20240919T201735Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Deciphering Odor Recognition UID:CAL-8a00048d-91324965-0191-dce22fd3-00005fa9demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,":Biostatistics and Bioinformatic s\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Gen omics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Hiro Matsunami X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:-0.3333333333333144 X-BEDEWORK-IMAGE-X2:530 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:530 X-BEDEWORK-IMAGE-CROP-HEIGHT:353.3333333333333 X-BEDEWORK-IMAGE-ALT-TEXT:Hiro Matsunami\, PhD\, Professor of Molecular Ge netics and Microbiology\, Duke University X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Hiro Matsunami canva photo_20240919081735P M.png X-BEDEWORK-THUMB-IMAGE:/public/Images/Hiro Matsunami canva photo_202409190 81735PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:We are a diverse set of engineers and scientists solving healt h problems by using and developing systems biology tools and technologies to describe and control spatial relationships between cells in tissues. While our primary goals of cellular organization are broad\, as are our c ollaborations\, we are particularly interested in applications involving cell-based therapies. DURATION:PT1H DTSTAMP:20240919T202036Z DTSTART;TZID=America/New_York:20240930T120000 LAST-MODIFIED:20240919T202036Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:From Pixels to Pathways: Computational Connection of Molecules to Multicell Modules UID:CAL-8a00048d-91324965-0192-0bf13874-00005fcfdemobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_PrattSc hool_BME,/principals/users/agrp_SchoolofMedicine_BiostatisticsandBioinfor matics,/principals/users/agrp_CenterforGenomicandComputationalBiology,/pr incipals/users/agrp_AGPM_Collaboratory,/principals/users/agrp_SchoolofMed icine,":Biomedical Engineering (BME)\,Biostatistics and Bioinformatics\,D uke Center for Genomic and Computational Biology (GCB)\,Precision Genomic s Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:John Hickey X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Dr. John Hickey\, PhD\, Assistant Professor in B iomedical Engineering at Duke University X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/John Hickey canva photo_20240919082010PM. png X-BEDEWORK-THUMB-IMAGE:/public/Images/John Hickey canva photo_20240919082 010PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:In 2016\, The Department of Veterans Affairs (VA) and the Depa rtment of Energy (DOE) have established an Interagency Agreement (IAA) to combine VA's vast array of clinical and genomic data with DOE's national computing capabilities-including the most powerful supercomputer in the nation-to push the frontiers of precision medicine to support the Preside nt's National Precision Medicine Initiative (PMI) and improve the lives a nd wellbeing of the nation's veterans. Guided by the vision to improve th e health and wellbeing of the nation's veterans and the general public\, the MVP Champion (Computational Health Analytics for Medical Precision to Improve Outcomes Now) program will develop better methods to treat\, cur e\, detect at early stages\, and prevent diseases through precision medic ine by harnessing the genomic and clinical data in the VA's Million Veter an Program (MVP) and the computational power within the DOE. In this talk \, we will present results from this project that led to creation of new computational methods that scaled to both the genetics data and computati onal capabilities that are made available for this project. We will espec ially\, focus on the genome-wide PheWAS study\, where we performed 300 bi llion association studies on more than half of DOE's supercomputer called Summit\, accelerating the analysis pipeline 100 fold over current state of the art resulting in discovery of over 38K novel biomarkers [1]. Addit ionally\, we will present ongoing work on developing AI/ML technologies f or disease risk prediction\, diagnosis and treatment. DURATION:PT1H DTSTAMP:20240927T173624Z DTSTART;TZID=America/New_York:20241007T120000 LAST-MODIFIED:20240927T173624Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Leveraging High Performance Computing and AI to Advance Biomedical Discovery UID:CAL-8a00048d-91324965-0192-348d7cfd-00006172demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_PrattSc hool_BME,/principals/users/agrp_SchoolofMedicine_BiostatisticsandBioinfor matics,/principals/users/agrp_CenterforGenomicandComputationalBiology,/pr incipals/users/agrp_AGPM_Collaboratory,/principals/users/agrp_SchoolofMed icine,":Biomedical Engineering (BME)\,Biostatistics and Bioinformatics\,D uke Center for Genomic and Computational Biology (GCB)\,Precision Genomic s Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Ravi Madduri X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Dr. Ravi Madduri\, PhD\, Senior Computer Scienti st\, Argonne National Laboratory X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Ravi Madduri canva photo_20240927053540PM. png X-BEDEWORK-THUMB-IMAGE:/public/Images/Ravi Madduri canva photo_20240927053 540PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:Electronic health records (EHRs) have immense potential to tra nsform medicine both at the point-of-care and through retrospective resea rch. However\, current EHRs are burdensome to use\, resulting in document ation which is suboptimal for patients\, clinicians\, and researchers ali ke. Clinical notes are written in their own jargon-heavy dialect\, patien t histories can contain hundreds of notes\, and there is often minimal la beled data available. In this talk\, I will first discuss scalable techni ques for clinical information extraction that leverage large language mod els\, how these methods could improve equity in healthcare\, and how we m ight think about the data training these models. Next\, I will describe a paradigm for smarter electronic health records that decreases documentat ion burden\, incentivizes the creation of high-quality data at the point- of-care\, and aids in information retrieval. I will also briefly describe work exploring clinical text summarization and medical text simplificati on. I will end with open challenges and opportunities for NLP to impact a variety of healthcare workflows\, with a lens towards human-AI interacti on\, evaluation\, and deployability. DURATION:PT1H DTSTAMP:20241004T205756Z DTSTART;TZID=America/New_York:20241021T120000 LAST-MODIFIED:20241004T205756Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Scalable Natural Language Processing to Transform Healthcare UID:CAL-8a00048d-91324965-0192-5952c6e1-00002507demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_PrattSc hool_BME,/principals/users/agrp_SchoolofMedicine_BiostatisticsandBioinfor matics,/principals/users/agrp_CenterforGenomicandComputationalBiology,/pr incipals/users/agrp_AGPM_Collaboratory,/principals/users/agrp_SchoolofMed icine,":Biomedical Engineering (BME)\,Biostatistics and Bioinformatics\,D uke Center for Genomic and Computational Biology (GCB)\,Precision Genomic s Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Monica Agrawal X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Dr. Monica Agrawal\, PhD\, Assistant Professor i n the Biostatistics and Bioinformatics department at Duke X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Monica Agrawal canva photo_20241004085729P M.png X-BEDEWORK-THUMB-IMAGE:/public/Images/Monica Agrawal canva photo_202410040 85729PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:Early autism screening is an important part of pediatric prima ry care that can help direct children into services. Currently\, most aut ism screening is conducted via the M-Chat\, a provider administered quest ionnaire. While useful\, the M-Chat is prone to inconsistent and misuse. Epidemiologic work has shown that autistic children have early life clini cal experiences that can be indicative of a future autism diagnosis. Such encounter data can be used to promote an automated\, health system based \, screening tool. Nonetheless\, predicting a future autism diagnosis is challenging due to the rarity and complexity of the outcome. In this talk \, I discuss a variety of ways we are working to improve a machine learni ng based prediction model for autism. We touch on topics of data represen tation\, borrowing from related conditions & data sources\, and addressin g algorithmic bias. DURATION:PT1H DTSTAMP:20241023T234952Z DTSTART;TZID=America/New_York:20241028T120000 LAST-MODIFIED:20241023T234952Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:One Step at a Time: Exploring Multiple Ways to Improve a Machine L earning Model to Predict a Future Autism Diagnosis UID:CAL-8a00048d-91324965-0192-904673e6-0000075ddemobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_SOM_For ge,/principals/users/agrp_SchoolofMedicine_BiostatisticsandBioinformatics ,/principals/users/agrp_CenterforGenomicandComputationalBiology,/principa ls/users/agrp_DCRI,/principals/users/agrp_SchoolofMedicine_PopulationHeal thSciences,/principals/users/agrp_AGPM_Collaboratory,/principals/users/ag rp_SchoolofMedicine,":AI Health\,Biostatistics and Bioinformatics\,Duke C enter for Genomic and Computational Biology (GCB)\,Duke Clinical Research Institute (DCRI)\,Population Health Sciences\,Precision Genomics Collabo ratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Ben Goldstein X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Pictured is Dr. Ben Goldstein\, a man with light skin short black hair\, smiling and wearing a maroon and white striped p olo shirt X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Ben Goldstein canva photo_20241015010833PM .png X-BEDEWORK-THUMB-IMAGE:/public/Images/Ben Goldstein canva photo_2024101501 0833PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:A significant challenge in vaccine design is the elicitation o f broadly-neutralizing antibodies (bnAbs) to protect against viral escape . We are developing computational models of affinity maturation to unders tand bottlenecks in the inducibility of bnAbs and guide sequential vaccin e strategies. Doing so requires accounting for context-dependence in soma tic hypermutation\, which in turn requires phylogenetic inference in the presence of site-dependence\, a long-standing challenge in computational biology. We describe an approximation algorithm for this problem using a combined data-augmentation and importance sampling scheme. We apply this approach to reconstruct maturation lineages from high-throughput B cell r eceptor repertoire sequencing data\, and examine the impact of context-de pendence on reconstruction accuracy. We then apply our models to the prob lem of choosing targets for the design of boosting immunogens aimed at el icitation of HIV bnAbs. DURATION:PT1H DTSTAMP:20241023T235317Z DTSTART;TZID=America/New_York:20241104T120000 LAST-MODIFIED:20241023T235317Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Randomized Algorithms\, Bayesian Phylogenetics\, and Computational Vaccine Design UID:CAL-8a00048d-91324965-0192-bb0754df-0000448cdemobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_SOM_For ge,/principals/users/agrp_SchoolofMedicine_BiostatisticsandBioinformatics ,/principals/users/agrp_SchoolofMedicine_StatGen,/principals/users/agrp_C enterforGenomicandComputationalBiology,/principals/users/agrp_SchoolofMed icine_PopulationHealthSciences,/principals/users/agrp_SchoolofMedicine,/p rincipals/users/agrp_StatisticalScience,":AI Health\,Biostatistics and Bi oinformatics\,Center for Statistical Genetics and Genomics (StatGen)\,Duk e Center for Genomic and Computational Biology (GCB)\,Population Health S ciences\,School of Medicine (SOM)\,Statistical Science X-BEDEWORK-SPEAKER:Scott Schmidler X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Pictured is Dr. Scott Schmidler a man with short dark brown hair light skin and blue eyes smiling. He is wearing a light- colored collared shirt X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Scott Schmidler canva photo_20241023081752 PM.png X-BEDEWORK-THUMB-IMAGE:/public/Images/Scott Schmidler canva photo_20241023 081752PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:The CRISPR toolbox allows functional interrogation of the geno me in the service of three foundational questions: 1) What genes are invo lved in my phenotype of interest? 2) How does function arise from a genet ic locus? 3) How do genes interact to produce a phenotype? The Genetic Pe rturbation Platform (GPP) at the Broad Institute engages in dozens of col laborative screening projects each year\, and is also the home for >1\,70 0 genetic screens reported in the Cancer Dependency Map (DepMap). We thus aim to continually incorporate new technologies and best practices in se rvice of these questions\, whether derived in-house or learned from the l iterature\, quickly and at scale. Here\, we will describe advances to our screening strategies across numerous CRISPR technologies\, including kno ckout\, activation\, interference\, and base editing. DURATION:PT1H DTSTAMP:20241101T002659Z DTSTART;TZID=America/New_York:20241118T120000 LAST-MODIFIED:20241101T002659Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Where Does He Get Those Wonderful Toys? A Tour of the Functional Genomics Toolbox UID:CAL-8a000483-92c3adf6-0192-e51dd58e-00001198demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Pratt_CAG T,/principals/users/agrp_SchoolofMedicine_DSCB,/principals/users/agrp_Cen terforGenomicandComputationalBiology,/principals/users/agrp_SchoolofMedic ine_MolecularGenetics,/principals/users/agrp_SchoolofMedicine,/principals /users/agrp_SchoolofMedicine_UPGG,":Biostatistics and Bioinformatics\,Cen ter for Advanced Genomic Technologies\,Developmental and Stem Cell Biolog y Program\,Duke Center for Genomic and Computational Biology (GCB)\,Molec ular Genetics and Microbiology (MGM)\,School of Medicine (SOM)\,Universit y Program in Genetics &\;amp\; Genomics (UPGG) X-BEDEWORK-SPEAKER:John Doench X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Pictured is Dr. John Doench a man with short dar k brown hair light skin wearing glasses and smiling. He is wearing a whit e button up collared shirt. X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/John Doench canva photo_20241101122630AM.p ng X-BEDEWORK-THUMB-IMAGE:/public/Images/John Doench canva photo_202411011226 30AM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:Advent of single-cell genomics has enhanced our ability to stu dy heterogeneous cell populations (1) to track course of temporal process es\, such as cellular differentiation\, (2) to identify novel and rare ce ll states\, and (3) characterize the heterogeneity of complex tissues\, s uch as tumors. In this talk\, I will present three methods to study such cell populations using multimodal single-cell omics assays. Our first alg orithm\, Epiconfig\, is an interpretable multimodal topic model that lear ns unsupervised clustering of single-cells while modeling cross modality relationships. We applied EpiConfig to a collection of sc-RNA+ATAC-seq as says that jointly measure transcriptomic and chromatin accessibility of s ingle cells from healthy and cancerous cell populations. Epi-Config is as accurate as widely used sc-multiomics clustering methods\; it learns set s of unimodal and cross modality features\, called topics\, that correspo nd to specific cell types and states. We developed a shiny app for interp retation of these topics to obtain biological insights into different cel l states\; we show that cross modality features reflect 3D genome interac tions. Our second method\, RIDDLER\, can identify copy number variation ( CNV) events in single-cell datasets. CNV is a widely studied type of geno mic structural variation that can have direct and indirect effects on gen e dosage\, and may drive cancer progression. RIDDLER is a single-cell res olution CNV detection algorithm based on outlier aware generalized linear modeling. We demonstrate the effectiveness of our algorithm on cancer ce ll line models where it achieves better agreement with sc-WGS derived CNV s than competing methods. RIDDLER is able to accurately reconstruct clona l heterogeneity of the cell population\, in accordance with sc-WGS derive d clones\, and can be applied to both sc-ATAC-seq\, sc-WGS and sc-methyla tion datasets. Lastly\, I will introduce scPrePrint\, an algorithm for st udying transcription factor (TF) binding to chromatin using sc-ATAC-seq d ata. scPrePrint uses an unsupervised deep neural network to identify tran scription factor binding sites via modeling of the ATAC footprint left on the TF binding site\; while correcting for ATAC sequence bias. We deploy ed scPrePrint on publicly available sc-ATAC-seq from cell lines\, and sho w that our footprint calls are concordant with ChIP-seq data. DURATION:PT1H DTSTAMP:20241116T012600Z DTSTART;TZID=America/New_York:20241125T120000 LAST-MODIFIED:20241116T012600Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Multimodal Characterization of Cell States at Single-Cell Resoluti on UID:CAL-8a000483-92c3adf6-0193-32932587-0000430edemobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Pratt_CAG T,/principals/users/agrp_SchoolofMedicine_DSCB,/principals/users/agrp_Cen terforGenomicandComputationalBiology,/principals/users/agrp_SchoolofMedic ine_MolecularGenetics,/principals/users/agrp_SchoolofMedicine,/principals /users/agrp_SchoolofMedicine_UPGG,":Biostatistics and Bioinformatics\,Cen ter for Advanced Genomic Technologies\,Developmental and Stem Cell Biolog y Program\,Duke Center for Genomic and Computational Biology (GCB)\,Molec ular Genetics and Microbiology (MGM)\,School of Medicine (SOM)\,Universit y Program in Genetics &\;amp\;amp\;amp\;amp\; Genomics (UPGG) X-BEDEWORK-SPEAKER:Gurkan Yardimci X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Pictured is Dr. Gurkan Yardimci a man with short dark brown hair light skin. He is wearing a dark shirt. X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Gurkan Yardimci canva photo_20241116012524 AM.png X-BEDEWORK-THUMB-IMAGE:/public/Images/Gurkan Yardimci canva photo_20241116 012524AM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Main CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None CREATED:20241122T182316Z DESCRIPTION:The Department of Chemistry is pleased to host Dr. Gregory Cra ven for a seminar on Monday\, December 2. \n\nTitle: "Mutant-selective AK T1 inhibition via lysine targeting and neo-zinc chelation"\n\nAbstract: M utations in the kinase AKT1\, especially the E17K mutation\, drive oncoge nic signaling in many solid tumors. In clinical studies\, pan-AKT inhibit ors cause dose-limiting hyperglycemia\, motivating the search for mutant- selective inhibitors. To address this\, I exploited the E17K mutation to design allosteric\, lysine-targeted salicylaldehyde inhibitors with selec tivity for AKT1(E17K) over wild type AKT paralogs\, a major challenge giv en the presence of three conserved lysines near the allosteric site. Stru ctural studies revealed an unexpected mode of covalent inhibition involvi ng neo-zinc coordination\, which drives exceptional selectivity and resid ence-time in cellular models and tumor xenografts. This approach opens a pathway for the selective targeting of other oncogenic lysine mutations i n cancer and motivates the search for new pharmacological opportunities b y exploiting ligand-induced metal chelation.\n\nHost: Chemistry Departmen t Chemical Biology Series DURATION:PT1H DTSTAMP:20241122T182752Z DTSTART;TZID=America/New_York:20241202T114500 LAST-MODIFIED:20241122T182752Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Chemistry Seminar Presented by Dr. Gregory Craven UID:CAL-8a000483-92c3adf6-0193-551d30bf-0000562cdemobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-STUDENT-CONTACT;X-BEDEWORK-PARAM-EMAIL=c.conti@duke.edu:Departm ent of Chemistry X-BEDEWORK-SPEAKER:Dr. Gregory Craven\, University of California San Franc isco X-BEDEWORK-DUKE-SERIES:Chemistry Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:234 X-BEDEWORK-IMAGE-X2:1236 X-BEDEWORK-IMAGE-Y2:1058 X-BEDEWORK-IMAGE-CROP-WIDTH:1236 X-BEDEWORK-IMAGE-CROP-HEIGHT:824 X-BEDEWORK-IMAGE-ALT-TEXT:Researcher stands in red shirt in outdoor settin g X-BEDEWORK-SUBMITTEDBY:cconti for Chemistry (agrp_ArtsandSciences_Chemistr y) X-BEDEWORK-IMAGE:/public/Images/Gregory Craven2_20241122062316PM.jpg X-BEDEWORK-THUMB-IMAGE:/public/Images/Gregory Craven2_20241122062316PM-thu mb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Main CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None CREATED:20241125T153118Z DESCRIPTION:The Department of Chemistry is pleased to host Dr. Evert Njome n for a seminar on Monday\, December 9. \n\nTitle: "Targeting the Undrugg ed Proteome with Small Molecules"\n\nAbstract: Human genetics has greatly enhanced our understanding of the fraction of human proteins and their p roteoforms with disease relevance. However\, many of these proteins remai n uncharacterized and lack selective small-molecule ligands to decipher t heir role in human pathophysiology. Understanding how these proteins cont ribute to human diseases and how we can develop safer therapeutic strateg ies to address them remains a significant challenge at the interface of c hemistry and biology. This seminar will focus on small molecule approache s to discover and characterize proteins that contribute to human diseases \, including cancer. Emphasis will be placed on an integrated chemical pr oteomic platform for proteome-wide ligand discovery in native biological systems. I will discuss how this integrated approach has enabled the disc overy and characterization of ligands for structurally and functionally d iverse proteins. This includes compounds that stereoselectively and site- specifically disrupt the spindle assembly checkpoint complex\, leading to delayed mitotic exit in cancer cells\, as well as the broader applicatio ns of this platform.\n\nHost: Chemistry Department Chemical Biology Serie s DURATION:PT1H DTSTAMP:20241127T203131Z DTSTART;TZID=America/New_York:20241209T121500 LAST-MODIFIED:20241127T203131Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Chemistry Seminar Presented by Dr. Evert Njomen UID:CAL-8a000483-92c3adf6-0193-63f2d6ba-00006df0demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-STUDENT-CONTACT;X-BEDEWORK-PARAM-EMAIL=c.conti@duke.edu:Departm ent of Chemistry X-BEDEWORK-SPEAKER:Dr. Evert Njomen\, Scripps Research Institute X-BEDEWORK-DUKE-SERIES:Chemistry Department Seminar X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:75 X-BEDEWORK-IMAGE-X2:657 X-BEDEWORK-IMAGE-Y2:513 X-BEDEWORK-IMAGE-CROP-WIDTH:657 X-BEDEWORK-IMAGE-CROP-HEIGHT:438 X-BEDEWORK-IMAGE-ALT-TEXT:Researcher in grey plaid jacket sits in a chemis try lab X-BEDEWORK-SUBMITTEDBY:cconti for Chemistry (agrp_ArtsandSciences_Chemistr y) X-BEDEWORK-IMAGE:/public/Images/Headshot_Njomen_20241125033119PM.jpg X-BEDEWORK-THUMB-IMAGE:/public/Images/Headshot_Njomen_20241125033119PM-thu mb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Main CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None CREATED:20241127T044538Z DESCRIPTION:The Department of Chemistry is pleased to host Dr. Carly Schis sel for a seminar on Wednesday\, December 11.\n\nTitle: "Strategies to Di scover\, Design\, and Synthesize Unnatural Bioactive Peptides"\n\nAbstrac t: Peptide therapeutics are a rapidly expanding frontier in drug developm ent. New methods that address challenges in the discovery\, design\, and synthesis of bioactive peptides are needed to advance these molecules as medicines. One of the most important roadblocks that macromolecular drugs face is their inability to reach intracellular targets. I will demonstra te new approaches for the design and synthesis of unnatural bioactive pep tides. First\, we used machine learning for the de novo design of nuclear -targeting miniproteins to traffic macromolecular cargo to the nucleus of cells. We found that the model was able to predict new sequences with ac tivities extrapolated beyond the training dataset\, resulting in the most active variants yet. Next\, we demonstrated a method for in-cell penetra tion selection-mass spectrometry to discover cytosol-targeting peptides f rom a synthetic library. Novel unnatural sequences found from the cytosol trafficked oligonucleotide cargo to the nucleus better than those found in whole cell extracts. A key outcome of these efforts was that the prese nce of unnatural amino acids with extended backbones conferred enhanced b ioactivity. The ribosomal synthesis of proteins and peptides with unnatur al peptide backbones is thus of critical importance. In the second part o f the presentation\, we developed post-translational acyl shift reactions to install internal diketones\, heterocycles\, and extended backbones in ribosomal peptides and proteins. These works advance the therapeutic pot ential of peptides by both developing new bioactive sequences and enablin g their biological synthesis.\n\nHost: Chemistry Department Chemical Biol ogy Series DURATION:PT1H DTSTAMP:20241127T044538Z DTSTART;TZID=America/New_York:20241211T121500 LAST-MODIFIED:20241127T044538Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Chemistry Seminar Presented by Dr. Carly Schissel UID:CAL-8a000483-92c3adf6-0193-6bf06dca-00000fdedemobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-SPEAKER:Dr. Carly Schissel\, University of California\, Berkele y X-BEDEWORK-DUKE-SERIES:Chemistry Seminar Series X-BEDEWORK-STUDENT-CONTACT;X-BEDEWORK-PARAM-EMAIL=c.conti@duke.edu:Departm ent of Chemistry X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:123 X-BEDEWORK-IMAGE-X2:960 X-BEDEWORK-IMAGE-Y2:763 X-BEDEWORK-IMAGE-CROP-WIDTH:960 X-BEDEWORK-IMAGE-CROP-HEIGHT:640 X-BEDEWORK-IMAGE-ALT-TEXT:Researcher stands in a black and white polka dot shirt in glasses against a concrete wall X-BEDEWORK-SUBMITTEDBY:cconti for Chemistry (agrp_ArtsandSciences_Chemistr y) X-BEDEWORK-IMAGE:/public/Images/Schissel_20241127044538AM.jpg X-BEDEWORK-THUMB-IMAGE:/public/Images/Schissel_20241127044538AM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Main CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None CREATED:20241125T153638Z DESCRIPTION:The Department of Chemistry is pleased to host Dr. Nicholas Ti ll for a seminar on Friday\, December 13. \n\nTitle: "Mechanistic Investi gation of Nickel/Photoredox Catalysis and Redirecting Trogocytosis for Ta rgeted Protein Transfer"\n\nAbstract: Part I: Visible light photoredox ca talysis is a powerful method to modulate small molecule and transition me tal reactivity\, but we lack insight into the mechanistic basis of this t echnology. I will present a comprehensive study of an industrially import ant Nickel/photoredox catalyzed C-N cross-coupling reaction. Using a comb ination of reaction kinetic analysis\, ultrafast spectroscopy\, and stoic hiometric organometallic studies\, we elucidate the key steps in the mech anism of this reaction. We then leverage these insights to design a new p hotocatalyst yielding improved reaction rate (>30-fold) and quantum yield (>10-fold).\n\nPart II: Targeted degradation of cell surface proteins ca n address therapeutic challenges rooted in pathologic over-expression or over-activation of a disease-driving protein. Directly introducing cell s urface proteins to address therapeutic challenges rooted in pathologic pr otein deficiency or dysfunction remains an unsolved challenge. I will pre sent the development of bispecific molecules (TrogoTACs) capable of induc ing contactdependent protein transfer between cells by redirecting trogoc ytosis in a targeted fashion. To accomplish this goal\, we designed chime ric antibody-small molecule conjugates with specificity to cell surface p roteins displaying mutually exclusive expression on donor and acceptor ce ll types. The protein transfer process is rapid\, requires cell-cell cont act\, and depends on expression of the receptors targeted by the TrogoTAC . Transferred proteins can then redirect T cell engager cytotoxicity to r ewire therapeutic targeting towards\notherwise unresponsive cancer cells. \n\nHost: Chemistry Department Chemical Biology Series DURATION:PT1H DTSTAMP:20241125T153638Z DTSTART;TZID=America/New_York:20241213T121500 LAST-MODIFIED:20241125T153638Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Chemistry Seminar Presented by Dr. Nicholas Till UID:CAL-8a000483-92c3adf6-0193-63f7b542-00006eb2demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-SPEAKER:Dr. Nicholas Till\, Stanford University X-BEDEWORK-DUKE-SERIES:Department of Chemistry Seminar X-BEDEWORK-STUDENT-CONTACT;X-BEDEWORK-PARAM-EMAIL=c.conti@duke.edu:Departm ent of Chemistry X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:138 X-BEDEWORK-IMAGE-X2:1498 X-BEDEWORK-IMAGE-Y2:1136.6666666666665 X-BEDEWORK-IMAGE-CROP-WIDTH:1498 X-BEDEWORK-IMAGE-CROP-HEIGHT:998.6666666666665 X-BEDEWORK-IMAGE-ALT-TEXT:Researcher stands in a navy blue jacket and ligh t blue shirt in an outdoor setting X-BEDEWORK-SUBMITTEDBY:cconti for Chemistry (agrp_ArtsandSciences_Chemistr y) X-BEDEWORK-IMAGE:/public/Images/nick3_20241125033638PM.jpeg X-BEDEWORK-THUMB-IMAGE:/public/Images/nick3_20241125033638PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Main CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None CREATED:20241206T204755Z DESCRIPTION:The Department of Chemistry is pleased to host Dr. Zhe Zhuang for a seminar on Monday\, December 16. \n\nTitle: "Molecular Glue Discove ry Enabled by Targeted Degron Display"\n\nAbstract: Small molecules that induce protein interactions hold tremendous potential as new medicines\, as probes for molecular pathways\, and as tools for agriculture. Explosiv e growth of targeted protein degradation drug development has spurred ren ewed interest in proximity inducing molecules and especially molecular gl ue degraders. These compounds catalyze destruction of disease-causing pro teins by reshaping protein surfaces and promoting cooperative binding bet ween ubiquitylating enzymes and target proteins. Molecular glue discovery for pre-defined targets is a major challenge in contemporary drug discov ery. Here I will discuss how we address these important chemical challeng es through molecular glue discovery enabled by targeted degron display. B y leveraging mechanisms such as electrophilic covalent bonding\, electros tatic interactions\, or cation-pi interactions\, I have identified a rang e of potent molecular glue degraders that recruit previously unligandable ubiquitylating factors for multiple therapeutically relevant epigenetic regulators and kinases. This "chemocentric" approach provides a powerful strategy to discover molecular glues that induce proximity to ubiquitin l igases with similarly desirable properties.\n\nHost: Chemistry Department Chemical Biology Series DURATION:PT1H DTSTAMP:20241206T204755Z DTSTART;TZID=America/New_York:20241216T121500 LAST-MODIFIED:20241206T204755Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Chemistry Seminar Presented by Dr. Zhe Zhuang UID:CAL-8a000483-92c3adf6-0193-9dbaa6eb-00004c80demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-SPEAKER:Dr. Zhe Zhuang\, Stanford University X-BEDEWORK-DUKE-SERIES:Chemistry Seminar Series X-BEDEWORK-STUDENT-CONTACT;X-BEDEWORK-PARAM-EMAIL=c.conti@duke.edu:Chemist ry Department X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:434 X-BEDEWORK-IMAGE-X2:2304 X-BEDEWORK-IMAGE-Y2:1970 X-BEDEWORK-IMAGE-CROP-WIDTH:2304 X-BEDEWORK-IMAGE-CROP-HEIGHT:1536 X-BEDEWORK-IMAGE-ALT-TEXT:Researcher with dark framed glasses stands in a grey suit X-BEDEWORK-SUBMITTEDBY:cconti for Chemistry (agrp_ArtsandSciences_Chemistr y) X-BEDEWORK-IMAGE:/public/Images/photo-Zhe Zhuang_20241206084755PM.jpeg X-BEDEWORK-THUMB-IMAGE:/public/Images/photo-Zhe Zhuang_20241206084755PM-th umb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:The Love lab develops statistical methods and open source soft ware for analysis of high dimensional biological data. We collaborate wit h groups in Genetics\, Biology\, Computer Science\, Neuroscience/Psychiat ry\, and Cancer Epidemiology\, to improve data analysis tools and workflo ws\, with a focus on transcriptomics. Here I will talk about updates from an international team within R/Bioconductor working to enable tidy data analysis for complex objects\, such as genome annotations or single cell expression sets. DURATION:PT1H DTSTAMP:20250110T213416Z DTSTART;TZID=America/New_York:20250127T120000 LAST-MODIFIED:20250110T213416Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Tidyomics: Enabling Tidy Data Analysis Workflows for Complex Biolo gical Data UID:CAL-8a000483-92c3adf6-0194-52199a7b-000001b7demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Pratt_CAG T,/principals/users/agrp_CenterforGenomicandComputationalBiology,/princip als/users/agrp_AGPM_Collaboratory,/principals/users/agrp_SchoolofMedicine ,/principals/users/agrp_SchoolofMedicine_UPGG,":Biostatistics and Bioinfo rmatics\,Center for Advanced Genomic Technologies\,Duke Center for Genomi c and Computational Biology (GCB)\,Precision Genomics Collaboratory\,Scho ol of Medicine (SOM)\,University Program in Genetics &\;amp\;amp\;amp\ ;amp\;amp\;amp\;amp\; Genomics (UPGG) X-BEDEWORK-SPEAKER:Mike Love\, PhD X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Pictured is Dr. Mike Love\, PhD\, a man with sho rt curly dark hair and a beard\, wearing glasses\, wearing a dark jacket indoors with a softly lit background featuring windows and beige walls X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Mike Love canva photo_20250110092316PM.png X-BEDEWORK-THUMB-IMAGE:/public/Images/Mike Love canva photo_20250110092316 PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:The Venturelli Lab aims to understand the molecular\, ecologic al and systems-level design\nprinciples of microbiomes and their interact ions with the environment and the host. The major goals of our research p rogram include developing the capability to predict their behaviors in re sponse to environmental perturbations and identify influential control kn obs for steering microbiomes to desired states. Our detailed and quantita tive understanding of the multiscale interactions shaping the human gut m icrobiome will guide the design\nof precision bacterial therapeutics and dietary interventions with applications spanning infectious\, autoimmune and metabolic diseases as well as manipulation of the gut-brain axis. DURATION:PT1H DTSTAMP:20250124T213124Z DTSTART;TZID=America/New_York:20250203T120000 LAST-MODIFIED:20250124T213124Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Understanding and Engineering the Multi-Scale Dynamics and Functio ns Of Microbial Communities UID:CAL-8a000483-92c3adf6-0194-9a39b064-00003309demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_PrattSc hool_BME,/principals/users/agrp_SchoolofMedicine_BiostatisticsandBioinfor matics,/principals/users/agrp_Pratt_CAGT,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,/principals/users/agrp_SchoolofMe dicine_UPGG,":Biomedical Engineering (BME)\,Biostatistics and Bioinformat ics\,Center for Advanced Genomic Technologies\,Duke Center for Genomic an d Computational Biology (GCB)\,Precision Genomics Collaboratory\,School o f Medicine (SOM)\,University Program in Genetics &\;amp\; Genomics (UP GG) X-BEDEWORK-SPEAKER:Ophelia Venturelli\, PhD X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Pictured is Dr. Ophelia Venturelli\, PhD\, a wom an with shoulder-length dark brown hair smiling warmly at the camera. She is wearing a gray sweater over a pink top\, standing in front of a light -colored mesh background with soft lighting X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Ophelia Venturelli canva photo_20250124093 059PM.png X-BEDEWORK-THUMB-IMAGE:/public/Images/Ophelia Venturelli canva photo_20250 124093059PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:My research team leverages data science to tackle previously i ntractable questions about how social and chemical environmental factors influence health and wellness. Equally important\, we collaborate with lo cal organizations and communities to effectively communicate environmenta l risks\, driving actionable solutions that reduce disease burden\, save lives\, and enhance overall well-being. DURATION:PT1H DTSTAMP:20250201T013840Z DTSTART;TZID=America/New_York:20250210T120000 LAST-MODIFIED:20250201T013840Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Understanding Environmental Health Effects Among the Most Vulnerab le Using Electronic Health Records and Molecular Data UID:CAL-8a000483-92c3adf6-0194-bf27e326-000004bedemobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_PrattSc hool_BME,/principals/users/agrp_SchoolofMedicine_BiostatisticsandBioinfor matics,/principals/users/agrp_Pratt_CAGT,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,/principals/users/agrp_SchoolofMe dicine_UPGG,":Biomedical Engineering (BME)\,Biostatistics and Bioinformat ics\,Center for Advanced Genomic Technologies\,Duke Center for Genomic an d Computational Biology (GCB)\,Precision Genomics Collaboratory\,School o f Medicine (SOM)\,University Program in Genetics &\;amp\;amp\;amp\;amp \; Genomics (UPGG) X-BEDEWORK-SPEAKER:Cavin Ward-Caviness\, PhD X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Pictured is Dr. Cavin Ward-Caviness\, PhD\, a sm iling man with dark skin\, long dark hair\, and a well-groomed beard. He is wearing a black blazer over a striped dress shirt with a patterned col lar. The background is plain white. X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Cavin Ward-Caviness canva photo_2025020101 3729AM.png X-BEDEWORK-THUMB-IMAGE:/public/Images/Cavin Ward-Caviness canva photo_2025 0201013729AM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:Evolution occurs when selective pressures from the environment shape inherited variation over time. Within the laboratory\, evolution i s commonly used to engineer proteins and RNA\, but experimental constrain ts have limited our ability to reproducibly and reliably explore key fact ors such as population diversity\, the timing of environmental changes\, and chance. We developed a high-throughput system for the analytical expl oration of molecular evolution using phage-based mutagenesis to evolve ma ny distinct classes of biomolecules simultaneously. In this talk\, I will describe the development of our open-source python:robot integration pla tform which enables us to adjust the stringency of selection in response to real-time evolving activity measurements and to dissect the historical \, environmental\, and random factors governing biomolecular evolution. F inally\, I will talk about our many ongoing and future projects which uti lize this system to evolve previously intractable biomolecules to target the undruggable proteome of protein-protein interactions. DURATION:PT1H DTSTAMP:20250207T204229Z DTSTART;TZID=America/New_York:20250217T120000 LAST-MODIFIED:20250207T204229Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Phage and Robotics-Assisted Directed Evolution UID:CAL-8a000483-92c3adf6-0194-e22442db-00004178demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_PrattSc hool_BME,/principals/users/agrp_SchoolofMedicine_BiostatisticsandBioinfor matics,/principals/users/agrp_Pratt_CAGT,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,/principals/users/agrp_SchoolofMe dicine_UPGG,":Biomedical Engineering (BME)\,Biostatistics and Bioinformat ics\,Center for Advanced Genomic Technologies\,Duke Center for Genomic an d Computational Biology (GCB)\,Precision Genomics Collaboratory\,School o f Medicine (SOM)\,University Program in Genetics &\;amp\;amp\;amp\;amp \;amp\;amp\;amp\; Genomics (UPGG) X-BEDEWORK-SPEAKER:Emma Chory\, PhD X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Pictured is Dr. Emma Chory\, PhD\, a smiling wom an with shoulder-length dark brown hair\, wearing a gray blazer over a bl ack top and a silver necklace with a small pendant. The background is blu rred\, featuring an elegant architectural setting with warm tones X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Emma Chory canva photo_20250207084014PM.pn g X-BEDEWORK-THUMB-IMAGE:/public/Images/Emma Chory canva photo_2025020708401 4PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:Artificial intelligence and machine learning have become impor tant components of the computational toolbox that can be used to advance chemical research and discovery. Our group has been working on advancing AI/ML as it applies to the broad subfields of synthetic organic chemistry (for developing/discovering reactions)\, medicinal chemistry (for develo ping/discovering new functional molecules)\, and analytical chemistry (fo r elucidating unknown molecular structures using mass spectrometry). A pe rvasive theme of our research is the use of domain expertise to inform mo deling\, from formulating chemistry challenges as statistical learning pr oblems to designing new neural network architectures uniquely suited to c hemistry data. DURATION:PT1H DTSTAMP:20250214T172115Z DTSTART;TZID=America/New_York:20250224T120000 LAST-MODIFIED:20250214T172115Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Artificial Intelligence for Molecular Design and Elucidation UID:CAL-8a000483-92c3adf6-0195-057a0c99-00001502demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_PrattSc hool_BME,/principals/users/agrp_SchoolofMedicine_BiostatisticsandBioinfor matics,/principals/users/agrp_Pratt_CAGT,/principals/users/agrp_ArtsandSc iences_Chemistry,/principals/users/agrp_ArtsandSciences_ComputerScience,/ principals/users/agrp_CenterforGenomicandComputationalBiology,/principals /users/agrp_PrattSchool_ECE,/principals/users/agrp_AGPM_Collaboratory,/pr incipals/users/agrp_SchoolofMedicine,/principals/users/agrp_SchoolofMedic ine_UPGG,":Biomedical Engineering (BME)\,Biostatistics and Bioinformatics \,Center for Advanced Genomic Technologies\,Chemistry\,Computer Science\, Duke Center for Genomic and Computational Biology (GCB)\,Electrical and C omputer Engineering (ECE)\,Precision Genomics Collaboratory\,School of Me dicine (SOM)\,University Program in Genetics &\;amp\; Genomics (UPGG) X-BEDEWORK-SPEAKER:Connor Coley\, PhD X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Pictured is Dr. Connor Coley\, PhD\, a man smili ng at the camera with short\, light brown hair and glasses\, wearing a li ght blue checkered button-up shirt. The background is a modern laboratory . X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Connor Coley canva photo_20250214052039PM. png X-BEDEWORK-THUMB-IMAGE:/public/Images/Connor Coley canva photo_20250214052 039PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:The Leslie lab develops novel computational methods to study c ellular biological systems from a global and data-driven perspective. The y seek to exploit diverse\, high-throughput functional and genomic data t o understand the molecular networks underlying fundamental cellular proce sses\, including regulation of transcription\, pre-mRNA processing\, sign aling\, and post-transcriptional gene silencing. Today's talk will presen t recent machine learning work to exploit single-cell chromatin accessibi lity and multiome data to decode gene regulation and cell dynamics. DURATION:PT1H DTSTAMP:20250223T202426Z DTSTART;TZID=America/New_York:20250303T120000 LAST-MODIFIED:20250223T202426Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Decoding Gene Regulation in 3D and in Single Cells UID:CAL-8a000483-92c3adf6-0195-347b260b-00003323demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_PrattSc hool_BME,/principals/users/agrp_SchoolofMedicine_BiostatisticsandBioinfor matics,/principals/users/agrp_Pratt_CAGT,/principals/users/agrp_ArtsandSc iences_ComputerScience,/principals/users/agrp_CenterforGenomicandComputat ionalBiology,/principals/users/agrp_AGPM_Collaboratory,/principals/users/ agrp_SchoolofMedicine,/principals/users/agrp_SchoolofMedicine_UPGG,":Biom edical Engineering (BME)\,Biostatistics and Bioinformatics\,Center for Ad vanced Genomic Technologies\,Computer Science\,Duke Center for Genomic an d Computational Biology (GCB)\,Precision Genomics Collaboratory\,School o f Medicine (SOM)\,University Program in Genetics &\;amp\; Genomics (UP GG) X-BEDEWORK-SPEAKER:Christina Leslie\, PhD X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Pictured is Dr. Christina Leslie\, PhD\, a woman smiling warmly at the camera\, with long dark hair and glasses. She is w earing a dark-colored blouse with a lighter\, olive-green section near th e neckline. The background is blurred\, suggesting an indoor setting with natural light. X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Christina Leslie canva photo_2025022308240 0PM.png X-BEDEWORK-THUMB-IMAGE:/public/Images/Christina Leslie canva photo_2025022 3082400PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None CREATED:20241002T200240Z DESCRIPTION:The Department of Chemistry is excited to host Professor Xiaog uang Lei (Peking University) for a departmental seminar on Monday\, March 10\, 2025. To learn more about Prof. Brudvig's research\, please visit: https://www.chem.pku.edu.cn/leigroup/proflei/index.htm hosted by Prof. Qi u Wang DURATION:PT1H DTSTAMP:20250306T145528Z DTSTART;TZID=America/New_York:20250310T114000 LAST-MODIFIED:20250306T145528Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Chemistry Seminar UID:CAL-8a00048d-91324965-0192-4ed3ddfb-00003d8edemobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-SPEAKER:Professor Xiaoguang Lei X-BEDEWORK-SUBMITTEDBY:bsg25 for Chemistry (agrp_ArtsandSciences_Chemistry ) END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Technology CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:Digital health is rapidly expanding due to surging healthcare costs\, deteriorating health outcomes\, and the growing prevalence and ac cessibility of mobile health and wearable technologies. Recent technologi cal advancements make it possible to closely and continuously monitor ind ividuals using multiple measurement modalities in real time. We are colle cting and integrating such wearables data with clinical information to ga in a more precise understanding of health and disease and develop actiona ble\, predictive health models for improving cardiometabolic and infectio us respiratory disease outcomes. We are simultaneously developing open so urce data science and machine learning tools for the digital health commu nity\, including the Digital Biomarker Discovery Pipeline (DBDP)\, to fac ilitate the use of mobile device data in healthcare. DURATION:PT1H DTSTAMP:20250403T161457Z DTSTART;TZID=America/New_York:20250414T120000 LAST-MODIFIED:20250403T161457Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:The Digital Physiome: Wearables for Disease Detection and Monitori ng UID:CAL-8a000483-92c3adf6-0195-fc6e8b6f-00003c64demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_PrattSc hool_BME,/principals/users/agrp_SchoolofMedicine_BiostatisticsandBioinfor matics,/principals/users/agrp_Pratt_CAGT,/principals/users/agrp_ArtsandSc iences_ComputerScience,/principals/users/agrp_SOM_ClinDep_Surgery,/princi pals/users/agrp_CenterforGenomicandComputationalBiology,/principals/users /agrp_SchoolofMedicine,/principals/users/agrp_SchoolofMedicine_UPGG,":Bio medical Engineering (BME)\,Biostatistics and Bioinformatics\,Center for A dvanced Genomic Technologies\,Computer Science\,Department of Surgery\,Du ke Center for Genomic and Computational Biology (GCB)\,School of Medicine (SOM)\,University Program in Genetics &\;amp\; Genomics (UPGG) X-BEDEWORK-SPEAKER:Jessilyn Dunn\, PhD X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Pictured is Dr. Jessilyn Dunn\, a woman with lig ht skin\, long brown hair\, and black-framed glasses. She is smiling and wearing a navy blue blazer over a white blouse. The background features a computer screen displaying colorful graph lines and data charts. X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-LOCATION:Zoom X-BEDEWORK-IMAGE:/public/Images/Jessilyn Dunn canva photo_20250403041417PM .png X-BEDEWORK-THUMB-IMAGE:/public/Images/Jessilyn Dunn canva photo_2025040304 1417PM-thumb.png X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Technology:/user/public-user /Topics/Technology END:VEVENT BEGIN:VEVENT CATEGORIES:Natural Sciences CATEGORIES:Utilities CATEGORIES:Main CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None CREATED:20250414T155843Z DESCRIPTION:The Department of Chemistry is thrilled to host Prof. Ron Naam an (Weizmann Institute of Science) on Thursday\, May 8\, 2025 for a depar tmental seminar. \n\n"Chirality and the electron spin- A miraculous match "\n\nSpin based properties\, applications\, and devices are commonly rela ted to magnetic effects and to magnetic materials. However\, we establish ed that chiral organic molecules or chiral inorganic materials can act as spin filters for photoelectrons transmission\, in electron transfer\, an d in electron transport. The effect\, termed Chiral Induced Spin Selectiv ity (CISS)\, has interesting implications for the production of new types of spintronics devices and on the importance of chiral molecules in bio logical systems. The basic effect\, and its mechanism\, applications and implications\, will be presented.\n\nTo learn more about Prof. Naaman\, p lease visit: https://www.weizmann.ac.il/chembiophys/naaman/home\n\nSemina r hosted by Profs. David Beratan and Michael Therien DURATION:PT1H DTSTAMP:20250414T155843Z DTSTART;TZID=America/New_York:20250508T133000 LAST-MODIFIED:20250414T155843Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Chemistry Seminar Presented by Prof. Ron Naaman\, "Chirality and t he electron spin- A miraculous match" UID:CAL-8a000483-92c3adf6-0196-35064015-00001168demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-SPEAKER:Prof. Ron Naaman (Weizmann Institute of Science) X-BEDEWORK-DUKE-SERIES:Chemistry Seminar Series X-BEDEWORK-STUDENT-CONTACT;X-BEDEWORK-PARAM-EMAIL=chem-office@duke.edu:Dep artment of Chemistry X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:41 X-BEDEWORK-IMAGE-X2:1200 X-BEDEWORK-IMAGE-Y2:841 X-BEDEWORK-IMAGE-CROP-WIDTH:1200 X-BEDEWORK-IMAGE-CROP-HEIGHT:800 X-BEDEWORK-IMAGE-ALT-TEXT:Researcher in dark framed rectangular glasses\, light blue collared button up shirt stands in front of library shelving. X-BEDEWORK-SUBMITTEDBY:cconti for Chemistry (agrp_ArtsandSciences_Chemistr y) X-BEDEWORK-IMAGE:/public/Images/Naaman_20250414035844PM.jpg X-BEDEWORK-THUMB-IMAGE:/public/Images/Naaman_20250414035844PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Teaching & Classroom Learning CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Conference/Symposium CATEGORIES:Main CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None CREATED:20250429T202042Z DESCRIPTION:The NC CER group brings together chemistry education researche rs as well as scholars of teaching and learning to share research and pra ctices across the state.\n\nThe annual meeting will be held on Friday\, J une 6 in French Science Room 4233. All are invited to join\, no registrat ion required.\n\nLearn more about Facilitators\, Presenters\, and agenda for the day here: https://duke.box.com/s/p7xjwx60zzpbbzcfocysvqok6nwuhb4s DURATION:PT7H DTSTAMP:20250429T202301Z DTSTART;TZID=America/New_York:20250606T100000 LAST-MODIFIED:20250429T202301Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:NC Chemistry Educators and Researchers Meeting UID:CAL-8a000483-92c3adf6-0196-83357ea7-00001c30demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Conference_Symposium:/user/p ublic-user/Lectures_Conferences/Conference_Symposium X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-STUDENT-CONTACT;X-BEDEWORK-PARAM-EMAIL=charlie.cox@duke.edu:Pro f. Charlie Cox X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME="Teaching & Classroom Le arning":/user/public-user/Topics/Teaching Classroom Learning X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:73 X-BEDEWORK-IMAGE-X2:530 X-BEDEWORK-IMAGE-Y2:426.3333333333333 X-BEDEWORK-IMAGE-CROP-WIDTH:530 X-BEDEWORK-IMAGE-CROP-HEIGHT:353.3333333333333 X-BEDEWORK-IMAGE-ALT-TEXT:NCCER Logo X-BEDEWORK-SUBMITTEDBY:cconti for Chemistry (agrp_ArtsandSciences_Chemistr y) X-BEDEWORK-IMAGE:/public/Images/NCCER2_20250429082042PM.jpg X-BEDEWORK-THUMB-IMAGE:/public/Images/NCCER2_20250429082042PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None CREATED:20250616T152418Z DESCRIPTION:Transition metal catalysis has emerged as an invaluable tool f or the development of novel reaction systems. Transition metal catalyzed amination strategies are of the utmost importance due to the ubiquity of nitrogen in bioactive compounds of interest\, ligands\, and catalysts. Gi ven the high degree of molecular complexity within the sought-after nitro gen-containing compounds\, reactions that are able to install multiple fu nctionalities in fewer steps are more useful. To this end\, difunctionali zation reactions have been researched using transition metal catalysis. T he majority of the works already reported on transition metal catalyzed a minofunctionalization rely on alkenes as substrates. However\, alkenes ar e generally limited to accessing 1\,2-addition products.\nContrary to sim ple alkenes\, 1\,3-dienes offer access to a wide variety of isomeric prod ucts to deliver a range of aminated motifs based on regio-\, site-\, and geometric selectivity. Despite this\, the subject of 1\,3-diene 1\,4-amin ofunctionalizaiton remains underdeveloped and demands further study.\nBas ed on this gap in the field\, a copper-catalyzed 1\,4-aminohydroxylation reaction has been developed using O-benzoylhydroxylamines as an electroph ilic source of aliphatic amines. The transformation delivers exclusively 1\,4-aminohydroxylated products by means of a carbonyl-assisted migration pathway\, as confirmed by various mechanistic experiments. The reaction system is amenable to a wide variety of carbonyl-containing 1\,3-diene su bstrates and has been successfully expanded to deliver exclusive 1\,4-ami nothiolated products from thioamide-containing 1\,3-dienes.\nCyclopropane s represent another class of difunctionalization substrate that remains u nderdeveloped. The difunctionalization of cyclopropanes by ring-opening r eactions serves as an access point to 1\,3-functionalized motifs\, a subs titution pattern inaccessible by alkene or diene functionalization. Utili zing the unique reactivity of cyclopropanes for ring-opening difunctional ization\, an enantioselective copper-catalyzed 1\,3-aminoalkynylation of non-activated aryl cyclopropanes has been established. DURATION:PT1H DTSTAMP:20250701T125624Z DTSTART;TZID=America/New_York:20250710T130000 LAST-MODIFIED:20250701T125624Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Defense: Noah Watkins- Catalytic selective aminofunctionalzation o f 1\, 3 dienes & aryl cyclopropanes enabled by copper catalysis UID:CAL-8a00f286-97700737-0197-79575f20-0000106cdemobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-IMAGE-X1:500 X-BEDEWORK-IMAGE-Y1:313 X-BEDEWORK-IMAGE-X2:1942 X-BEDEWORK-IMAGE-Y2:1274.3333333333335 X-BEDEWORK-IMAGE-CROP-WIDTH:1442 X-BEDEWORK-IMAGE-CROP-HEIGHT:961.3333333333335 X-BEDEWORK-IMAGE-ALT-TEXT:NW X-BEDEWORK-SUBMITTEDBY:bsg25 for Chemistry (agrp_ArtsandSciences_Chemistry ) X-BEDEWORK-IMAGE:/public/Images/Noah W. _20250630072416PM.jpg X-BEDEWORK-THUMB-IMAGE:/public/Images/Noah W. _20250630072416PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None CREATED:20250716T174810Z DESCRIPTION:I. Kinetic Analysis of Benzylidene Transfer from Gold(I) Carbe noids\nII. Kinetic Analysis of Protodeauration of β-Styrenyl Gold Complex es\nIII. Palladium (II) Catalyzed Homobenzylic Diazirine Activation\n\nI. Aliphatic and aromatic alkenes react rapidly and efficiently with the go ld sulfonium benzylide complex [(P)AuCHPh(SPh2)]+{B [3\,5-CF3C6H3]4− [P= P (t-Bu)2o-biphenyl\;1] at room temperature via the cationic two-coordina te gold benzylidene complex [(P)AuCHPh]+(1.I) to form phenyclyclopropanes . The reactivity of p-substituted vinyl arenes toward 1.I decreased with the decreasing electron donor ability of the vinyl arene and the reactivi ty of aliphatic alkenes toward 1.I depended strongly on the number of alk yl groups attached to the more substituted alkene terminus.. Benzylidene transfer to vinyl arenes led to predominant formation of cis-cyclopropane s. All our experimental observations were consistent with a concerted\, a synchronous\, electrophilic benzylidene transfer mechanism.\n\nII. Treatm ent of gold β-styrenyl complexes (E)-(PPh3)AuC(H)═C(H)(4-C6H4X) with exce ss acetic acid in CD2Cl2 containing PPh3 at 4 °C led to quantitative prot odeauration to form the corresponding vinyl arene as the exclusive organi c product. Kinetic analysis of the protodeauration under these conditions established the rate law for the protodeauration of : rate =k[β-styrenyl complex][AcOH]mon\,\, and established the superior correlation of log(ko bs) with the Hammett σ parameter (ρ = −1.26\;R2> 0.99) These and addition al observations are consistent with a mechanism for the preponderation of complexes involving transfer of proton from monomeric acetic acid to the Au-C bond with concerted C-H bond formation/Au-C(σ) bond cleavage.\n\nII I. Treatment of homobenzylic diazirines 3-(4-chlorobenzyly)-3H-diazirine and 3-benzyl-3H diazirine with a catalytic amount of PdCl2(PhCN)2 (15 mM Pd) at 25 °C led to consumption of the diazirine and yielding correspondi ng vinyl arenes as the exclusive organic product. Kinetic analysis of thi s palladium catalyzed diazirine activation under these conditions establi shed the rate law rate = k[diazirine][Pd]. The elimination also proceeded using {PdCl2[π(p-chlorostyrene)}2 as a catalyst in the same conditions. The mechanism is proposed to proceed through an oxidative addition\, foll owed by diazometallacyclobutane formation\, then expulsion of nitrogen pr oduces the palladium carbene\, which then proceeds through a facile 1\,2- elimination. DURATION:PT1H DTSTAMP:20250716T195736Z DTSTART;TZID=America/New_York:20250717T100000 LAST-MODIFIED:20250716T195736Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Chemistry Defense: Mitch Rivers: I. Kinetic Analysis of Benzyliden e Transfer from Gold(I) Carbenoids II. Kinetic Analysis of Protodeaurati on of β-Styrenyl Gold Complexes III. Palladium (II) Catalyzed Homobenzyl ic Diazirine Activation UID:CAL-8a00ec8b-979413b9-0198-1459ddad-000008eedemobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-STUDENT-CONTACT;X-BEDEWORK-PARAM-EMAIL=chem-office@duke.edu:Che mistry Admin office X-BEDEWORK-SPEAKER:Mitch Rivers X-BEDEWORK-IMAGE-X1:713 X-BEDEWORK-IMAGE-Y1:305 X-BEDEWORK-IMAGE-X2:1243 X-BEDEWORK-IMAGE-Y2:658.3333333333333 X-BEDEWORK-IMAGE-CROP-WIDTH:530 X-BEDEWORK-IMAGE-CROP-HEIGHT:353.33333333333326 X-BEDEWORK-IMAGE-ALT-TEXT:mitch rivers X-BEDEWORK-SUBMITTEDBY:lao26 for Chemistry (agrp_ArtsandSciences_Chemistry ) X-BEDEWORK-IMAGE:/public/Images/Admin Office Slides _20250716054810PM.png X-BEDEWORK-THUMB-IMAGE:/public/Images/Admin Office Slides _20250716054810P M-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Technology CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:David Rasmussen leads the Phylodynamics Research Group at NC S tate\, which focuses on developing new computational and statistical meth ods for genomic epidemiology\, population genomics and phylogenetics. Muc h of our research focuses on developing "phylodynamic" methods to better understand the evolution of microbial pathogens by combining population d ynamic modeling with phylogenetic methods. We have applied these approach es to RNA viruses and bacteria to explore the genomic determinants of pat hogen fitness in real world environments and to identify potential fitnes s trade-offs between alternate environments. Recent work has also focused on optimizing sampling designs for demographic inference from population genomic data. Framing genomic sampling as a sequential decision making p roblem (i.e. a Markov decision process)\, allows us to maximize the infor mation gained from genomic data about a population's history using classi c dynamic programming and modern reinforcement learning methods. DURATION:PT1H DTSTAMP:20260202T003952Z DTSTART;TZID=America/New_York:20260202T120000 LAST-MODIFIED:20260202T003952Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CANCELLED SUMMARY:CANCELED: Optimizing Genomic Sampling to Learn the Evolutionary Hi story of Pathogen Populations UID:CAL-8a00eca5-9af98aae-019b-f2320fad-00006e0fdemobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Technology:/user/public-user /Topics/Technology X-BEDEWORK-LOCATION:FFSC 4233 X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Artsand Sciences_Biology,/principals/users/agrp_SchoolofMedicine_Biostatisticsand Bioinformatics,/principals/users/agrp_Pratt_CAGT,/principals/users/agrp_C enterforGenomicandComputationalBiology,/principals/users/agrp_SchoolofMed icine_MolecularGenetics,/principals/users/agrp_SchoolofMedicine_Neurobiol ogy,/principals/users/agrp_SchoolofMedicine_CMB,/principals/users/agrp_Sc hoolofMedicine,/principals/users/agrp_SchoolofMedicine_UPGG,":Biology\,Bi ostatistics and Bioinformatics\,Center for Advanced Genomic Technologies\ ,Duke Center for Genomic and Computational Biology (GCB)\,Molecular Genet ics and Microbiology (MGM)\,Neurobiology\,Program in Cell and Molecular B iology\,School of Medicine (SOM)\,University Program in Genetics &\;am p\;amp\;amp\;amp\;amp\;amp\;amp\;amp\; Genomics (UPGG) X-BEDEWORK-SPEAKER:David Rasmussen\, PhD X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:David Rasmussen X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/David Rasmussen canva photo_20260124104845 PM.png X-BEDEWORK-THUMB-IMAGE:/public/Images/David Rasmussen canva photo_20260124 104845PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Technology CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:The Johri lab is interested in better characterizing the shape of the distribution of fitness effects of new mutations in organisms and on understanding how selection on functionally important regions affects genome-wide patterns of variation. Population genomic inference currentl y does not account for the effects of selection across the genome\, which is especially problematic in species with compact genomes (i.e.\, those with a high density of protein-coding and regulatory regions) where natur al selection is pervasive. We develop statistical and computational metho ds that simultaneously account for the effects of selection jointly with other evolutionary processes to make accurate evolutionary inferences (su ch as historical changes in population size) using sequence variation fro m natural populations. As most pathogenic species tend to have highly com pact genomes and experience strong bouts of selection and drastic repeate d bottlenecks\, our methodological advances and recent theoretical effort s will be important to uncovering their population and selective history. DURATION:PT1H DTSTAMP:20260209T020656Z DTSTART;TZID=America/New_York:20260216T120000 LAST-MODIFIED:20260209T020656Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Jointly Modeling the Effects of Evolutionary Processes on Genomic Variation UID:CAL-8a00eca5-9af98aae-019c-40222334-00005922demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Technology:/user/public-user /Topics/Technology X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Artsand Sciences_Biology,/principals/users/agrp_SchoolofMedicine_Biostatisticsand Bioinformatics,/principals/users/agrp_Pratt_CAGT,/principals/users/agrp_C enterforGenomicandComputationalBiology,/principals/users/agrp_SchoolofMed icine_MolecularGenetics,/principals/users/agrp_SchoolofMedicine_Neurobiol ogy,/principals/users/agrp_SchoolofMedicine_CMB,/principals/users/agrp_Sc hoolofMedicine,/principals/users/agrp_SchoolofMedicine_UPGG,":Biology\,Bi ostatistics and Bioinformatics\,Center for Advanced Genomic Technologies\ ,Duke Center for Genomic and Computational Biology (GCB)\,Molecular Genet ics and Microbiology (MGM)\,Neurobiology\,Program in Cell and Molecular B iology\,School of Medicine (SOM)\,University Program in Genetics &\;am p\;amp\;amp\;amp\;amp\;amp\;amp\; Genomics (UPGG) X-BEDEWORK-SPEAKER:Parul Johri\, PhD X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Parul Johri X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Parul Johri canva photo_20260209020144AM.j pg X-BEDEWORK-THUMB-IMAGE:/public/Images/Parul Johri canva photo_202602090201 44AM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Technology CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:Research in the Velmeshev lab uses single-cell genomics\, spat ial transcriptomic and transsynaptic viral tracing applied to human brain tissue samples\, cerebral organoids\, and rodent models to understand ce ll type-specific mechanisms of brain development and neurodevelopmental d isorders such as autism. Velmeshev lab also develops bioinformatics tools for analyzing single-cell and spatial transcriptomics data. DURATION:PT1H DTSTAMP:20260225T153014Z DTSTART;TZID=America/New_York:20260302T120000 LAST-MODIFIED:20260225T153014Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Dissecting Developing and Mature Neuronal Circuit Organization Usi ng Barcoded Transsynaptic Viral Tracing\, Spatial Transcriptomics and Bio informatics UID:CAL-8a003294-9c52b03d-019c-956be646-000004dcdemobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Technology:/user/public-user /Topics/Technology X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Artsand Sciences_Biology,/principals/users/agrp_PrattSchool_BME,/principals/users /agrp_SchoolofMedicine_BiostatisticsandBioinformatics,/principals/users/a grp_Pratt_CAGT,/principals/users/agrp_CenterforGenomicandComputationalBio logy,/principals/users/agrp_SchoolofMedicine_MolecularGenetics,/principal s/users/agrp_SchoolofMedicine_Neurobiology,/principals/users/agrp_Schoolo fMedicine_CMB,/principals/users/agrp_SchoolofMedicine,/principals/users/a grp_SchoolofMedicine_UPGG,":Biology\,Biomedical Engineering (BME)\,Biosta tistics and Bioinformatics\,Center for Advanced Genomic Technologies\,Duk e Center for Genomic and Computational Biology (GCB)\,Molecular Genetics and Microbiology (MGM)\,Neurobiology\,Program in Cell and Molecular Biolo gy\,School of Medicine (SOM)\,University Program in Genetics &\; Genom ics (UPGG) X-BEDEWORK-SPEAKER:Dmitry Velmeshev\, PhD X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Dmitry Velmeshev X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Dmitry Velmeshev canva photo_2026022503300 2PM.png X-BEDEWORK-THUMB-IMAGE:/public/Images/Dmitry Velmeshev canva photo_2026022 5033002PM-thumb.png END:VEVENT END:VCALENDAR