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

BMC Bioinformatics

Volumn 12, Issue , 2011, Pages

  Le Béchec, Antony ^a   Portales Casamar, Elodie ^b   Vetter, Guillaume ^a   Moes, Michèle ^a   Zindy, Pierre Joachim ^c   Saumet, Anne ^d   Arenillas, David ^b   Theillet, Charles ^d   Wasserman, Wyeth W ^b   Lecellier, Charles Henri ^e   Friederich, Evelyne ^a  

^a UNIVERSITY OF LUXEMBOURG   (Luxembourg)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^c INSTITUTE FOR RESEARCH IN IMMUNOLOGY AND CANCER   (Canada)

^d INSERM   (France)

^e INSTITUT DE GÉNÉTIQUE MOLÉCULAIRE DE MONTPELLIER   (France)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL APPROACH; COMPUTATIONAL RESOURCES; EMBRYONIC DEVELOPMENT; GENE REGULATORY NETWORKS; LARGE-SCALE DATABASE; MICROARRAY EXPRESSIONS; MOLECULAR REGULATION; REGULATORY NETWORK;

FORECASTING; GENES; INFORMATION FILTERING; TRANSCRIPTION FACTORS;

RNA;

MESSENGER RNA; MICRORNA; TRANSCRIPTION FACTOR;

ARTICLE; BIOLOGY; GENE EXPRESSION REGULATION; GENE REGULATORY NETWORK; GENETIC DATABASE; GENETICS; HUMAN; INTERNET; METABOLISM; METHODOLOGY; PROTEIN MOTIF;

AMINO ACID MOTIFS; COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; GENE EXPRESSION REGULATION; GENE REGULATORY NETWORKS; HUMANS; INTERNET; MICRORNAS; RNA, MESSENGER; TRANSCRIPTION FACTORS;

EID: 79952198386     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-12-67     Document Type: Article

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