Novel function discovery with GeneMANIA: a new integrated resource for gene function prediction in Escherichia coli

  • James Vlasblom
  • , Khalid Zuberi
  • , Harold Rodriguez
  • , Roland Arnold
  • , Alla Gagarinova
  • , Viktor Deineko
  • , Ashwani Kumar
  • , Elisa Leung
  • , Kamran Rizzolo
  • , Bahram Samanfar
  • , Luke Chang
  • , Sadhna Phanse
  • , Ashkan Golshani
  • , Jack F Greenblatt
  • , Walid A Houry
  • , Andrew Emili
  • , Quaid Morris
  • , Gary Bader
  • , Mohan Babu

Research output: Contribution to journalArticlepeer-review

28 Citations (Scopus)

Abstract

MOTIVATION: The model bacterium Escherichia coli is among the best studied prokaryotes, yet nearly half of its proteins are still of unknown biological function. This is despite a wealth of available large-scale physical and genetic interaction data. To address this, we extended the GeneMANIA function prediction web application developed for model eukaryotes to support E.coli.

RESULTS: We integrated 48 distinct E.coli functional interaction datasets and used the GeneMANIA algorithm to produce thousands of novel functional predictions and prioritize genes for further functional assays. Our analysis achieved cross-validation performance comparable to that reported for eukaryotic model organisms, and revealed new functions for previously uncharacterized genes in specific bioprocesses, including components required for cell adhesion, iron-sulphur complex assembly and ribosome biogenesis. The GeneMANIA approach for network-based function prediction provides an innovative new tool for probing mechanisms underlying bacterial bioprocesses.

CONTACT: [email protected]; [email protected]

SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Original languageEnglish
Pages (from-to)306-310
Number of pages5
JournalBioinformatics
Volume31
Issue number3
DOIs
Publication statusPublished - 13 Oct 2014

Keywords

  • Algorithms
  • Escherichia coli
  • Escherichia coli Proteins
  • Gene Regulatory Networks
  • Phenotype
  • Software
  • Journal Article
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

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