CORECLUST: identification of the conserved CRM grammar together with prediction of gene regulation.

Anna A Nikulova * Alexander V Favorov Roman A Sutormin Vsevolod J Makeev 1, 2 Andrey A Mironov
* Auteur correspondant
2 MAGNOME - Models and Algorithms for the Genome
Inria Bordeaux - Sud-Ouest, UB - Université de Bordeaux, CNRS - Centre National de la Recherche Scientifique : UMR5800
Abstract : Identification of transcriptional regulatory regions and tracing their internal organization are important for understanding the eukaryotic cell machinery. Cis-regulatory modules (CRMs) of higher eukaryotes are believed to possess a regulatory 'grammar', or preferred arrangement of binding sites, that is crucial for proper regulation and thus tends to be evolutionarily conserved. Here, we present a method CORECLUST (COnservative REgulatory CLUster STructure) that predicts CRMs based on a set of positional weight matrices. Given regulatory regions of orthologous and/or co-regulated genes, CORECLUST constructs a CRM model by revealing the conserved rules that describe the relative location of binding sites. The constructed model may be consequently used for the genome-wide prediction of similar CRMs, and thus detection of co-regulated genes, and for the investigation of the regulatory grammar of the system. Compared with related methods, CORECLUST shows better performance at identification of CRMs conferring muscle-specific gene expression in vertebrates and early-developmental CRMs in Drosophila.
Type de document :
Article dans une revue
Nucleic Acids Research, Oxford University Press, 2012, epub ahead of print. 〈10.1093/nar/gks235〉
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Soumis le : lundi 14 mai 2012 - 10:02:18
Dernière modification le : jeudi 11 janvier 2018 - 06:22:12

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Anna A Nikulova, Alexander V Favorov, Roman A Sutormin, Vsevolod J Makeev, Andrey A Mironov. CORECLUST: identification of the conserved CRM grammar together with prediction of gene regulation.. Nucleic Acids Research, Oxford University Press, 2012, epub ahead of print. 〈10.1093/nar/gks235〉. 〈hal-00696900〉

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