Our lab uses computational and mathematical approaches to investigate the mechanisms that govern mammalian genomes and cell populations. The lab specializes in problems in cancer genomics, molecular evolution, and gene regulation.
The lab uses computational and mathematical approaches to understand how genomes function and evolve. We develop and apply techniques from a variety of disciplines, including molecular evolution, artificial intelligence, and biophysical modeling. We are currently focused in: 1) Cancer evolution in response to therapy, and 2) RNA-Level Gene Regulation.
SARNAclust: Semi-automatic detection of RNA protein binding motifs from immunoprecipitation data
Meet the members of the Chuang lab
Chuang Lab Awarded U24 for Data Coordination Center for NCI PDXNet
Together with Seven Bridges Genomics, we have been awarded a National Cancer Institute grant to coordinate data sharing and analysis for the PDXNet. We are working with esteemed collaborators at institutes including MD Anderson, the Huntsman Institute at the University of Utah, Baylor College of Medicine, the Wistar Institute, and Washington University. For this project we will be analyzing hundreds of new and existing PDX samples toward the goal of developing a clinical trial based on patient-derived xenografts.
Topics that the Chuang Lab investigates
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Student/postdoctoral/research scientist openings in cancer computational biology.