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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Computational Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3315333/
https://www.ncbi.nlm.nih.gov/pubmed/22121215
http://dx.doi.org/10.1093/nar/gkr902

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3315333/
https://www.ncbi.nlm.nih.gov/pubmed/22121215
http://dx.doi.org/10.1093/nar/gkr902

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