Computational Biology Group/Bioinformatics
A Collaborative, Interdisciplinary Group
The Computational Biology / Bioinformatics group at the New York Genome Center (NYGC) is a team of scientists, analysts, and programmers who conduct research in all aspects of human genomics, with applications to cancer, Mendelian and complex diseases. This work includes the development of tools and processing pipelines. The 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 and evaluate novel genomics technologies and protocols. This group also collaborates with the NYGC faculty labs, the NYGC Technology Innovation Lab, and external researchers to translate improvements in genomic analysis methods into better data to guide more informed healthcare.
Latest News & Publications
Some of the team’s most recent research projects involve the development of methods for pathogen identification, somatic variant prioritization, mitochondrial genome analysis, and the development of methods to analyze emerging long-read technologies. We also contribute to the Polyethnic-1000 projects led by the New York Genome Center.
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bioRxiv · October 15, 2024 · Preprint
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Nature · October 9, 2024
The interplay of mutagenesis and ecDNA shapes urothelial cancer evolution.
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American Journal of Human Genetics · October 3, 2024
Semi-supervised machine learning method for predicting homogeneous ancestry groups to assess Hardy-Weinberg equilibrium in diverse whole-genome sequencing studies.