Using Big Data to Discover Diagnostics and Therapeutics for Gastrointestinal and Liver Diseases

Benjamin Wooden, Nicolas Goossens, Yujin Hoshida, Scott L. Friedman

Research output: Contribution to journalReview article

26 Scopus citations

Abstract

Technologies such as genome sequencing, gene expression profiling, proteomic and metabolomic analyses, electronic medical records, and patient-reported health information have produced large amounts of data from various populations, cell types, and disorders (big data). However, these data must be integrated and analyzed if they are to produce models or concepts about physiological function or mechanisms of pathogenesis. Many of these data are available to the public, allowing researchers anywhere to search for markers of specific biological processes or therapeutic targets for specific diseases or patient types. We review recent advances in the fields of computational and systems biology and highlight opportunities for researchers to use big data sets in the fields of gastroenterology and hepatology to complement traditional means of diagnostic and therapeutic discovery.

Original languageEnglish (US)
Pages (from-to)53-67.e3
JournalGastroenterology
Volume152
Issue number1
DOIs
StatePublished - Jan 1 2017

Keywords

  • Big Data
  • Drug Repurposing
  • Precision Medicine
  • Translational Bioinformatics

ASJC Scopus subject areas

  • Hepatology
  • Gastroenterology

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