Nature Communications (Oct 2016)

Multi-omic data integration enables discovery of hidden biological regularities

  • Ali Ebrahim,
  • Elizabeth Brunk,
  • Justin Tan,
  • Edward J. O'Brien,
  • Donghyuk Kim,
  • Richard Szubin,
  • Joshua A. Lerman,
  • Anna Lechner,
  • Anand Sastry,
  • Aarash Bordbar,
  • Adam M. Feist,
  • Bernhard O. Palsson

DOI
https://doi.org/10.1038/ncomms13091
Journal volume & issue
Vol. 7, no. 1
pp. 1 – 9

Abstract

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Translating omics data sets into biological insight is one of the great challenges of our time. Here, the authors make headway by synchronising pairs of omics data types via invariants across conditions and by integrating datasets into a genome-scale model of E. coli metabolism and gene expression.