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Bioinformatics Training and Education Program

january, 2021

28jan1:00 pm2:00 pmScalable Statistical Methods and Software for Single-Cell Data ScienceBTEP Distinguished Speakers Seminar Series, Stephanie Hicks

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Speaker: Stephanie Hicks, Ph.D.
Assistant Professor, Department of Biostatistics, Johns Hopkins University, Bloomberg School of Public Health
Faculty member, Johns Hopkins Data Science Lab

Single-cell RNA-Seq (scRNA-seq) is the most widely used high-throughput technology to measure genome-wide gene expression at the single-cell level. However, single-cell data present unique challenges that have required the development of specialized methods and software infrastructure to successfully derive biological insights. Compared to bulk RNA-seq, there is an increased scale of the number of observations (or cells) that are measured and there is increased sparsity of the data, or fraction of observed zeros. Furthermore, as single-cell technologies mature, the increasing complexity and volume of data require fundamental changes in data access, management, and infrastructure alongside specialized methods to facilitate scalable analyses. Dr. Hicks will discuss some challenges in the analysis of scRNA-seq data and present some solutions they have made towards addressing these challenges.

The session recording and slides will be available after the webinar.

Time

(Thursday) 1:00 pm - 2:00 pm

Location

Online

Organizer

BTEPBioinformatics Training and Education Program, CCR, NCINCIBTEP@mail.nih.gov

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