Computational Genomics

Our research interest is the development of computational genomic tools for the study of human diseases and cellular development. We focus on detailed analyses of genomic and epigenomic data generated by high-throughput sequencing to address specific questions related to disease progression, treatment response, stem cell differentiation and neurological processes.

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News

  • We are looking for post-docs to join our research in the area of computational genomics. Positions are available for:
    • Developing novel computational tools for modeling impact of microbiome on tumorgenesis.
    • Identification of molecular aging markers from high-dimensional (epi)genomic data derived from stem cell models.

    Candidates must have Ph.D degree, or equivalent, in Computational Biology, Computer Science, or Math. Applicant should send CV, research statement and list of three references to doron @ physbio-tech.net

Recent Publications

Our latest paper on detection of microbiome from clinical samples is published in Genome Biology . In collaboration with Manish Shah we demonstrate the feasibility of detecting low levels of bacteria from biopsy samples using whole genome sequencing.

Full list of publications