Skip to main content
Browse by:

SoCloud: cloud-based data analysis for large-scale singlecell and single-nucleus RNA-seq

Event Image
Icon calendar
Friday, November 08, 2019
Icon time
1:00 pm - 2:00 pm
Icon location
Icon speaker
Bo Li, PhD
Icon series
StatGen Seminar Series

Massively parallel single cell RNA-Seq has opened the way to systematic tissue atlases in health and disease, but as the scale of data generation is growing, so does the need for computational pipelines for scaled analysis. Here, we developed scCloud, a cloud-based framework for analyzing large scale single-cell and single-nucleus RNA-Seq datasets. scCloud combines the power of cloud computing with algorithm and implementation improvements to achieve high scalability, low cost, user-friendliness, and integrated support for a more comprehensive set of features. We benchmark scCloud on the Human Cell Atlas preview dataset of bone marrow cells and show that it substantially improves efficiency over conventional frameworks, while maintaining or improving the quality of results, enabling large-scale studies.

Contact: Tasha Allison