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

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...

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Detalhes bibliográficos
Main Authors: Hurley, Daniel, Araki, Hiromitsu, Tamada, Yoshinori, Dunmore, Ben, Sanders, Deborah, Humphreys, Sally, Affara, Muna, Imoto, Seiya, Yasuda, Kaori, Tomiyasu, Yuki, Tashiro, Kosuke, Savoie, Christopher, Cho, Vicky, Smith, Stephen, Kuhara, Satoru, Miyano, Satoru, Charnock-Jones, D. Stephen, Crampin, Edmund J., Print, Cristin G.
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2012
Assuntos:
Computational Biology
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3315333/
https://ncbi.nlm.nih.gov/pubmed/22121215
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/nar/gkr902
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