LegumeGRN: A Gene Regulatory Network Prediction Server for Functional and Comparative Studies

Building accurate gene regulatory networks (GRNs) from high-throughput gene expression data is a long-standing challenge. However, with the emergence of new algorithms combined with the increase of transcriptomic data availability, it is now reachable. To help biologists to investigate gene regulato...

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Dettagli Bibliografici
Autori principali: Wang, Mingyi, Verdier, Jerome, Benedito, Vagner A., Tang, Yuhong, Murray, Jeremy D., Ge, Yinbing, Becker, Jörg D., Carvalho, Helena, Rogers, Christian, Udvardi, Michael, He, Ji
Natura: Artigo
Lingua:Inglês
Pubblicazione: Public Library of Science 2013
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Research Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC3701055/
https://ncbi.nlm.nih.gov/pubmed/23844010
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0067434
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