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

@inproceedings{Bchec2010MIRNTNAF,
  title={MIR@NT@N: a framework integrating transcription factors, microRNAs and their targets to identify sub-network motifs in a meta-regulation network model},
  author={Antony Le B{\'e}chec and Elodie Portales-Casamar and Guillaume Vetter and Mich{\`e}le Moes and Pierre-Joachim Zindy and Anne Saumet and David J. Arenillas and Charles Theillet and Wyeth W. Wasserman and Charles-Henri Lecellier and Evelyne Friederich},
  booktitle={BMC Bioinformatics},
  year={2010}
}
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 view of these regulatory molecular interactions at a genome-wide scale would be of great interest to biologists, but is not available to date. To identify and analyze molecular interaction networks, we… CONTINUE READING

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