tailieunhanh - Báo cáo sinh học: " Exact p-value calculation for heterotypic clusters of regulatory motifs and its application in computational annotation of cis-regulatory modules"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí y học Molecular Biology cung cấp cho các bạn kiến thức về ngành sinh học đề tài: Exact p-value calculation for heterotypic clusters of regulatory motifs and its application in computational annotation of cis-regulatory modules. | Algorithms for Molecular Biology BioMed Central Open Access Exact p-value calculation for heterotypic clusters of regulatory motifs and its application in computational annotation of cis-regulatory modules Valentina Boeva 1 2 Julien Clément3 Mireille Régnier2 Mikhail A Roytberg4 5 and Vsevolod J Makeev1 6 Address institute of Genetics and Selection of Industrial Microorganisms GosNIIGenetika 117545 Moscow Russia 2MIGEC INRIA Rocquencourt 78153 Le Chesnay France 3GREYC CNRS UMR 6072 Laboratoire d informatique 14032 Caen France institute of Mathematical Problems of Biology Russian Academy of Sciences Puschino Moscow Region Russia 5Puschino State University Puschino Moscow Region Russia and 6Engelhardt Institute of Molecular Biology Russian Academy of Sciences Moscow Russia Email Valentina Boeva - valeyo@ Julien Clément - Mireille Régnier - Mikhail A Roytberg - mroytberg@ Vsevolod J Makeev - makeev@ Corresponding author Published 10 October 2007 Received 13 July 2007 Algorithms for Molecular Biology 2007 2 13 doi 1748-7188-2-13 Accepted 10 October 2007 This article is available from http content 2 1 13 2007 Boeva et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background cis-Regulatory modules CRMs of eukaryotic genes often contain multiple binding sites for transcription factors. The phenomenon that binding sites form clusters in CRMs is exploited in many algorithms to locate CRMs in a genome. This gives rise to the problem of calculating the statistical significance of the event that multiple sites recognized by different