Computational Biology Lab
The Computational Biology group at the New York Genome Center (NYGC) is a team of scientists, analysts and programmers who conduct research in cancer genomics, transcriptomics, genetics of Mendelian and complex diseases, statistical genetics, metagenomics, epigenomics, and genome and transcriptome assembly. This work includes the development of tools and analysis pipelines. The Computational Biology Group works closely with the Software Engineering, Research Computing and Sequencing groups at NYGC to continuously improve and speed-up the analysis of genomic data. This group also collaborates with the NYGC faculty labs, the NYGC Innovation Lab, and external researchers, with the goal of translating improvements in genomic analysis methods into better data to guide more informed healthcare.
Some of our most recent research projects involve development of methods for pathogen identification, somatic variant prioritization, mitochondrial genome analysis, and development of methods to analyze emerging long-read technologies. We also contribute to the New York-wide collaborative glioblastoma clinical outcomes study and longitudinal study of autoimmune diseases led by the New York Genome Center.
For more about our team, visit NYGC’s Bioinformatics website.
Different mutational rates and mechanisms in human cells at pregastrulation and neurogenesis.
Bae T, Tomasini L, Mariani J, Zhou B, Roychowdhury T, Franjic D, Pletikos M, Pattni R, Chen BJ, Venturini E, Riley-Gillis B, Sestan N, Urban AE, Abyzov A, Vaccarino FM.
Science. 2017 Dec. 7.
Speciation over the edge: gene flow among non-human primate species across a formidable biogeographic barrier.
Evans BJ, Tosi AJ, Zeng K, Dushoff J, Corvelo A, Melnick DJ.
Royal Society Open Science. 2017 Oct. 18.
Genomic Patterns of De Novo Mutation in Simplex Autism.
Turner TN, Coe BP, Dickel DE, Hoekzema K, Nelson BJ, Zody MC, Kronenberg ZN, Hormozdiari F, Raja A, Pennacchio LA, Darnell RB,
Cell. 2017 Sept. 28.
Detection of long repeat expansions from PCR-free whole-genome sequence data
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Genome Research. 2017 September 8.
An NF-kB Transcription-Factor-Dependent Lineage Specific Transcriptional Program Promotes Regulatory T Cell Identity and Function
Oh H, Grinberg-Bleyer Y, Liao W, Maloney D, Wang P, Wu Z, Wang J, Bhatt DM, Heise N, Schmid RM, Hayden MS, Klein U Rabadan R, Ghosh S.
Immunity. 2017 September 7.
- Different mutational rates and mechanisms in human cells at pregastrulation and neurogenesis.