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.
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Publications:
Bo Li
Assistant Professor of Medicine and Director of Bioinformatics and Computational Biology Program
Dr. Li’s research focuses on developing reliable computational tools to empower novel analyses of various Next-Generation Sequencing (NGS) data, and in particular, single-cell genomics data.