An Opinionated Computational Workflow for Single-Cell RNA-seq and ATAC-seq
Saskia Freytag (Harry Perkins Institute of Medical Research, Australia)
8:00 AM - 8:25 AM CST (China Standard Time) on Friday, Oct. 16th, 2020
TALK
Single cell omics technologies, like scRNA-seq and scATAC-seq, allow researchers to capture molecular information in thousands of individual cells. This results in massive datasets that are also often highly complex due to the heterogeneity of different cells in the studied system. In order to derive biological meaningful insights from such data, analytical methods that are computationally efficient and statistically sound are required. For the past two years, I have been analysing large single cell omics datasets generated from human brain tissue. During this time, I have tried many of the over 700 computational tools for the analysis of single cell omics data. In my talk I will share my computational workflow for scRNA-seq and scATAC-seq, as well as, share tips and tricks that have proven invaluable in prying biologically interesting discoveries from human brain data.
Moderator: Julie Zhu (University of Massachusetts, Medical School)
