Selectome update: quality control and computational improvements to a database of positive selection.

Details

Ressource 1Download: BIB_BD16E97A0D18.P001.pdf (3356.25 [Ko])
State: Public
Version: Final published version
Serval ID
serval:BIB_BD16E97A0D18
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Selectome update: quality control and computational improvements to a database of positive selection.
Journal
Nucleic Acids Research
Author(s)
Moretti S., Laurenczy B., Gharib W.H., Castella B., Kuzniar A., Schabauer H., Studer R.A., Valle M., Salamin N., Stockinger H., Robinson-Rechavi M.
ISSN
1362-4962 (Electronic)
ISSN-L
0305-1048
Publication state
Published
Issued date
2014
Peer-reviewed
Oui
Volume
42
Number
1
Pages
D917-D921
Language
english
Abstract
Selectome (http://selectome.unil.ch/) is a database of positive selection, based on a branch-site likelihood test. This model estimates the number of nonsynonymous substitutions (dN) and synonymous substitutions (dS) to evaluate the variation in selective pressure (dN/dS ratio) over branches and over sites. Since the original release of Selectome, we have benchmarked and implemented a thorough quality control procedure on multiple sequence alignments, aiming to provide minimum false-positive results. We have also improved the computational efficiency of the branch-site test implementation, allowing larger data sets and more frequent updates. Release 6 of Selectome includes all gene trees from Ensembl for Primates and Glires, as well as a large set of vertebrate gene trees. A total of 6810 gene trees have some evidence of positive selection. Finally, the web interface has been improved to be more responsive and to facilitate searches and browsing.
Pubmed
Web of science
Open Access
Yes
Create date
28/10/2013 15:35
Last modification date
20/08/2019 16:31
Usage data