4.8 Article

Gene network inference and visualization tools for biologists: application to new human transcriptome datasets

期刊

NUCLEIC ACIDS RESEARCH
卷 40, 期 6, 页码 2377-2398

出版社

OXFORD UNIV PRESS
DOI: 10.1093/nar/gkr902

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资金

  1. University of Auckland
  2. Maurice Wilkins Centre for Molecular Biodiscovery
  3. Auckland Bioengineering Institute
  4. Royal Society of New Zealand [06-UOA-182]
  5. University of Auckland [3606318, 23285]
  6. Health Research Council of New Zealand [06/581]
  7. University of Auckland Faculty of Medical and Health Sciences [8303460]
  8. Maurice Wilkins Centre of Research Excellence
  9. Grants-in-Aid for Scientific Research [22134004] Funding Source: KAKEN

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Gene regulatory networks inferred from RNA abundance data have generated significant interest, but despite this, gene network approaches are used infrequently and often require input from bioinformaticians. We have assembled a suite of tools for analysing regulatory networks, and we illustrate their use with microarray datasets generated in human endothelial cells. We infer a range of regulatory networks, and based on this analysis discuss the strengths and limitations of network inference from RNA abundance data. We welcome contact from researchers interested in using our inference and visualization tools to answer biological questions.

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