Linked Life Data

11075923

Source:http://linkedlifedata.com/resource/pubmed/id/11075923

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2001-2-13
pubmed:abstractText
The ability to control multiple genes at the transcriptional level often relies on the existence of short stretches of well-defined DNA sequences, to which regulatory proteins and transcription factors bind. In this article we present a freely accessible web-based application (GRASP-DNA), that can be used to screen prokaryotic genomes for putative DNA-binding sites of a particular transcription factor or DNA-binding molecule. This application utilizes existing theories, such as information and statistical-mechanical theories, for the calculation of positive weight matrices generated from block aligned binding sites. Using these position weight matrices entire prokaryotic genomes are screened to identify sites that display a high level of sequence similarity to existing binding sites. This application can be used in combination with high-throughput technologies for gene expression analysis and binding site characterization to assist in the elucidation of global regulatory networks.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
1464-1801
pubmed:author
pubmed:issnType
Print
pubmed:volume
2
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
495-500
pubmed:dateRevised
2001-3-23
pubmed:meshHeading
pubmed:year
2000
pubmed:articleTitle
GRASP-DNA: a web application to screen prokaryotic genomes for specific DNA-binding sites and repeat motifs.
pubmed:affiliation
Deparment of Bioengineering University of California, San Diego, La Jolla 92093-0412, USA. cschilli@bioeng.ucsd.edu
pubmed:publicationType
Journal Article