RSEM

Feb 15, 2010·
Dr. Bo Li
Dr. Bo Li
· 1 min read

RSEM (RNA-Seq by Expectation-Maximization) is a widely-used RNA-Seq transcript quantification tool. RSEM papers are cited over 5,300 times. It was served in nationwide consortium projects such as ENCODE (The Encyclopedia of DNA Elements) and TCGA (The Cancer Genome Altas). It is also recommended by HCA (Human Cell Atlas) for analyzing plate-based SMART-Seq2 single-cell RNA-Seq data.

C++ RNA-Seq Transcript Quantification SMART-Seq2
Dr. Bo Li
Authors
Dr. Bo Li
Principal Scientist II
Dr. Bo Li is a Principal Scientist at Genentech, Inc. His research focuses on large-scale single-cell genomics data analysis. Before joining in Genentech, he was an Assistant Professor of Medicine at Harvard Medical School and the director of Bioinformatics and Computational Biology at Center for Immunology and Inflammatory Diseases, Massachusetts General Hospital. He received his Ph.D. in computer science from UW-Madison and completed two postdoctoral trainings with Dr. Lior Pachter at UC Berkeley and Dr. Aviv Regev at Broad Institute. He is best known for developing RSEM, an impactful RNA-seq transcript quantification software. RSEM is cited 22,602 times (Google Scholar) and adopted by several big consortia such as TCGA, ENCODE, GTEx and TOPMed.