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Contact Us
    • LABS

    • 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 […]

    • Yaniv Erlich’s lab focuses on developing new strategies at the New York Genome Center in order to harness datasets from millions of people through social media and scientific resources. With that information, the lab will work to dissect the genetic architecture of complex traits to work toward bridging the missing heritability gap. Erlich’s lab consists […]

    • The Imielinski lab applies cancer genome assembly to study long range DNA structure in tumors. A key goal of the lab is to understand how complex somatic DNA rearrangements shape the tumor epigenome and drive cancer progression. More fundamentally, the lab is interested in using structural variation as a lens to study genomic plasticity and […]

    • The Knowles Lab will be opening in January 2019 at the New York Genome Center, jointly with Columbia University. The lab develops and applies statistical machine learning methods for functional genomics, particularly to understand the role of transcriptomic dysregulation in human genetic disease. This includes characterization of the genetic and environmental factors contributing to mRNA […]

    • The Landau Lab develops computational and experimental tools to study cancer evolution. Our research is geared towards uncovering basic principles in evolutionary biology, using both patient derived samples and experimental systems for modeling cancer evolution. In addition, we seek to apply this knowledge to designing the next generation of precision medicine tools to overcome cancer evolution, as a […]

    • Tuuli Lappalainen’s lab studies functional genetic variation in human populations. It is particularly interested in regulatory variation affecting the transcriptome, as well as cellular mechanisms underlying genetic associations to disease. The lab integrates computational analysis of genomic and transcriptomic data with population genetic and experimental analysis. The lab is also affiliated with the Department of […]

    • Neville Sanjana’s lab develops technologies to understand how human genetic variants cause diseases of the nervous system and cancer. The lab employs a multi-disciplinary approach, combining genome engineering, pooled genetic screens, bioinformatics, electrophysiology, and imaging, to dissect the inner workings of the human genome and its dysfunction in autism and tumor evolution. The Sanjana lab […]

    • Rahul Satija’s lab studies the causes and consequences of cellular heterogeneity in complex biological systems. His group is particularly interested in single cell genomics, with active development in both the dry and wet lab. The lab integrates novel statistical and machine learning-based methods with experimental analysis in order to better understand how cells work together […]

    • CONTACT: Twitter: @NYGCTech Email: The Technology Innovation Lab is a dedicated incubator within the New York Genome Center (NYGC) comprised of a multidisciplinary team in which staff scientists and faculty, as well as many research collaborators, can explore and test breakthrough genomic tools and ideas. We serve as a creative hub for generating new […]

    • Dr. Wigler’s research is presently focused on the genomics of cancer and the genetics of autism and related disorders. Together with members of his laboratory they have demonstrated the feasibility of single cell sequencing for genomic analysis and expects this work will eventually improve the targeting of cancer treatments and lead to early and less […]


This work was partially supported by a gift from the Simons Foundation.