Literature DB >> 15333453

DWE: discriminating word enumerator.

Pavel Sumazin1, Gengxin Chen, Naoya Hata, Andrew D Smith, Theresa Zhang, Michael Q Zhang.   

Abstract

MOTIVATION: Tissue-specific transcription factor binding sites give insight into tissue-specific transcription regulation.
RESULTS: We describe a word-counting-based tool for de novo tissue-specific transcription factor binding site discovery using expression information in addition to sequence information. We incorporate tissue-specific gene expression through gene classification to positive expression and repressed expression. We present a direct statistical approach to find overrepresented transcription factor binding sites in a foreground promoter sequence set against a background promoter sequence set. Our approach naturally extends to synergistic transcription factor binding site search. We find putative transcription factor binding sites that are overrepresented in the proximal promoters of liver-specific genes relative to proximal promoters of liver-independent genes. Our results indicate that binding sites for hepatocyte nuclear factors (especially HNF-1 and HNF-4) and CCAAT/enhancer-binding protein (C/EBPbeta) are the most overrepresented in proximal promoters of liver-specific genes. Our results suggest that HNF-4 has strong synergistic relationships with HNF-1, HNF-4 and HNF-3beta and with C/EBPbeta. AVAILABILITY: Programs are available for use over the Web at http://rulai.cshl.edu/tools/dwe.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15333453     DOI: 10.1093/bioinformatics/bth471

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  11 in total

1.  Motif discovery in tissue-specific regulatory sequences using directed information.

Authors:  Arvind Rao; Alfred O Hero; David J States; James Douglas Engel
Journal:  EURASIP J Bioinform Syst Biol       Date:  2007

2.  A systems biology approach to transcription factor binding site prediction.

Authors:  Xiang Zhou; Pavel Sumazin; Presha Rajbhandari; Andrea Califano
Journal:  PLoS One       Date:  2010-03-26       Impact factor: 3.240

Review 3.  Strategies for performing genotype-phenotype association studies in nonhuman primates.

Authors:  Christina S Barr
Journal:  Methods       Date:  2009-06-06       Impact factor: 3.608

4.  Genomewide bioinformatic analysis negates any specific role for Dof, GATA and Ag/cTCA motifs in nitrate responsive gene expression in Arabidopsis.

Authors:  Ravi Ramesh Pathak; Suman K Das; Devapriya Choudhury; Nandula Raghuram
Journal:  Physiol Mol Biol Plants       Date:  2009-06-28

5.  GADEM: a genetic algorithm guided formation of spaced dyads coupled with an EM algorithm for motif discovery.

Authors:  Leping Li
Journal:  J Comput Biol       Date:  2009-02       Impact factor: 1.479

6.  A highly efficient and effective motif discovery method for ChIP-seq/ChIP-chip data using positional information.

Authors:  Xiaotu Ma; Ashwinikumar Kulkarni; Zhihua Zhang; Zhenyu Xuan; Robert Serfling; Michael Q Zhang
Journal:  Nucleic Acids Res       Date:  2012-01-06       Impact factor: 16.971

7.  The promoters of human cell cycle genes integrate signals from two tumor suppressive pathways during cellular transformation.

Authors:  Yuval Tabach; Michael Milyavsky; Igor Shats; Ran Brosh; Or Zuk; Assif Yitzhaky; Roberto Mantovani; Eytan Domany; Varda Rotter; Yitzhak Pilpel
Journal:  Mol Syst Biol       Date:  2005-10-18       Impact factor: 11.429

8.  Discovery of regulatory elements is improved by a discriminatory approach.

Authors:  Eivind Valen; Albin Sandelin; Ole Winther; Anders Krogh
Journal:  PLoS Comput Biol       Date:  2009-11-13       Impact factor: 4.475

9.  Discovery of stress responsive DNA regulatory motifs in Arabidopsis.

Authors:  Shisong Ma; Shawn Bachan; Matthew Porto; Hans J Bohnert; Michael Snyder; Savithramma P Dinesh-Kumar
Journal:  PLoS One       Date:  2012-08-13       Impact factor: 3.240

Review 10.  Computational analyses of eukaryotic promoters.

Authors:  Michael Q Zhang
Journal:  BMC Bioinformatics       Date:  2007-09-27       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.