MetroNome — a visual data exploration platform for integrating human genotypic and phenotypic data across diseases

Christian Stolte, Kevin Shi, Nina Lapchyk, Nathaniel Novod, Avinash Abhyankar, Lyle W. Ostrow, Hemali Phatnani, Toby Bloom

Research output: Contribution to journalArticlepeer-review

Abstract

MetroNome is a web-based visual data exploration platform which integrates de-identified genomic, transcriptomic, and phenotypic data sets. Users can define and compare cohorts constructed from multimodal data and share the data and analyses with outside tools. MetroNome’s interactive visualization and analysis tools allow researchers to quickly form and explore novel hypotheses. The deidentified data is linked back to the source biosample inventories in multiple biobanks, enabling researchers to further investigate new ideas using the most relevant samples.

Original languageEnglish (US)
JournalUnknown Journal
DOIs
StatePublished - Sep 14 2019

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)
  • Immunology and Microbiology(all)
  • Neuroscience(all)
  • Pharmacology, Toxicology and Pharmaceutics(all)

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