Literature DB >> 17993687

Detecting regulatory sites using PhyloGibbs.

Rahul Siddharthan1, Erik van Nimwegen.   

Abstract

PhyloGibbs is a program that uses Gibbs sampling to predict putative binding sites for transcription factors in DNA. It has two notable advances over previous algorithms for this task: it handles phylogenetically related sequence systematically, and it evaluates the significance of each predicted site via statistical sampling. In this article, we explain how to use PhyloGibbs effectively. We describe the essential command-line options in detail, and discuss other considerations that arise in practical situations.

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Year:  2007        PMID: 17993687     DOI: 10.1007/978-1-59745-514-5_24

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  5 in total

Review 1.  Deciphering the role of RNA-binding proteins in the post-transcriptional control of gene expression.

Authors:  Shivendra Kishore; Sandra Luber; Mihaela Zavolan
Journal:  Brief Funct Genomics       Date:  2010-12-01       Impact factor: 4.241

Review 2.  Parsing regulatory DNA: general tasks, techniques, and the PhyloGibbs approach.

Authors:  Rahul Siddharthan
Journal:  J Biosci       Date:  2007-08       Impact factor: 1.826

3.  Genome-wide functional analysis of human 5' untranslated region introns.

Authors:  Can Cenik; Adnan Derti; Joseph C Mellor; Gabriel F Berriz; Frederick P Roth
Journal:  Genome Biol       Date:  2010-03-11       Impact factor: 13.583

4.  MotifMap: a human genome-wide map of candidate regulatory motif sites.

Authors:  Xiaohui Xie; Paul Rigor; Pierre Baldi
Journal:  Bioinformatics       Date:  2008-11-18       Impact factor: 6.937

Review 5.  Computational Methods for CLIP-seq Data Processing.

Authors:  Paula H Reyes-Herrera; Elisa Ficarra
Journal:  Bioinform Biol Insights       Date:  2014-10-01
  5 in total

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