MIR@NT@N: a framework integrating transcription factors, microRNAs and their targets to identify sub-network motifs in a meta-regulation network model

BACKGROUND: To understand biological processes and diseases, it is crucial to unravel the concerted interplay of transcription factors (TFs), microRNAs (miRNAs) and their targets within regulatory networks and fundamental sub-networks. An integrative computational resource generating a comprehensive...

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Detalles Bibliográficos
Autores principales: Le Béchec, Antony, Portales-Casamar, Elodie, Vetter, Guillaume, Moes, Michèle, Zindy, Pierre-Joachim, Saumet, Anne, Arenillas, David, Theillet, Charles, Wasserman, Wyeth W, Lecellier, Charles-Henri, Friederich, Evelyne
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3061897/
https://www.ncbi.nlm.nih.gov/pubmed/21375730
http://dx.doi.org/10.1186/1471-2105-12-67

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3061897/
https://www.ncbi.nlm.nih.gov/pubmed/21375730
http://dx.doi.org/10.1186/1471-2105-12-67

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