Detecting Regulatory Sites Using PhyloGibbs View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2007

AUTHORS

Rahul Siddharthan , 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. More... »

PAGES

381-402

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-1-59745-514-5_24

DOI

http://dx.doi.org/10.1007/978-1-59745-514-5_24

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1017366539

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/17993687


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