PROBer
PROBer is the first unified probabilistic framework for the analysis of a diverse set of sequencing-based ‘toeprinting’ assays. These assays are used to probe RNA secondary structure (DMS/SHAPE-Seq), detect epitranscriptomic mark (Pseudo-Seq), or identify RNA-protein interaction (iCLIP/eCLIP), which are important to understanding post-transcriptional gene regulation from all aspects.
Authors
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.
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