Now: openings for postdoctoral fellows, visiting scholars and graduate students.
Mar 2013: Leverage sequence context effects for control-free detection of DNA modifications, PLoS Comp Bio (link).
Nov 2012: The methylome of the German outbreak E. Coli, Nature Biotechnology (Fang et al.). Also, highlighted in Nature Reviews Genetics, Nature Reviews Microbiology. Media coverage: Bio-IT World, TheScientist, PHYS.
Oct 2012: Statistical modeling of kinetic variation data and the first map of base-resolution human mitochondrial DNA modifications, Genome Research. (link)
Gang Fang, PhD
Department of Genetics and Genomic Sciences
Institute for Genomics and Multi-scale Biology
Mount Sinai School of Medicine
1425 Madison Ave, Suite 3-70 Room J
New YorK, NY 10029
We are a computational biology labotorary that emphasizes biological and clinical impacts in the design of effective computational and statistical models. Our research goal is to reveal uncharacterized (often neglected) aspects of disease mechanisms that hold promise for better disease diagnosis and treatment. We are also interested in disease-related fundamental biological problems such as regulation and evolution. Towards this goal, we leverage novel types of high-throughput data and ask novel questions with existing types of data.
Computational integration of large scale functional and comparative (epi)genomic data in an epistasis-aware and multi-scale manner is the major theme of our research. We are currently pursuing two research directions, each with specific projects that aim towards answering the following question sets, respectively: