Signal search analysis server.

Details

Ressource 1Download: serval:BIB_74A486451481.P001 (206.31 [Ko])
State: Public
Version: author
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It was possible to publish this article open access thanks to a Swiss National Licence with the publisher.
Serval ID
serval:BIB_74A486451481
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Signal search analysis server.
Journal
Nucleic acids research
Author(s)
Ambrosini G., Praz V., Jagannathan V., Bucher P.
ISSN
1362-4962[electronic]
Publication state
Published
Issued date
2003
Volume
31
Number
13
Pages
3618-20
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't - Publication Status: ppublish
Abstract
Signal search analysis is a general method to discover and characterize sequence motifs that are positionally correlated with a functional site (e.g. a transcription or translation start site). The method has played an instrumental role in the analysis of eukaryotic promoter elements. The signal search analysis server provides access to four different computer programs as well as to a large number of precompiled functional site collections. The programs offered allow: (i) the identification of non-random sequence regions under evolutionary constraint; (ii) the detection of consensus sequence-based motifs that are over- or under-represented at a particular distance from a functional site; (iii) the analysis of the positional distribution of a consensus sequence- or weight matrix-based sequence motif around a functional site; and (iv) the optimization of a weight matrix description of a locally over-represented sequence motif. These programs can be accessed at: http://www.isrec.isb-sib.ch/ssa/.
Keywords
Consensus Sequence, Genome, Bacterial, Internet, Promoter Regions, Genetic, Protein Biosynthesis, RNA, Ribosomal, 16S, Regulatory Sequences, Nucleic Acid, Response Elements, Sequence Analysis, DNA, Software, Transcription Initiation Site
Pubmed
Web of science
Open Access
Yes
Create date
13/03/2008 10:35
Last modification date
25/09/2019 6:09
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