4.8 Article

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

期刊

NUCLEIC ACIDS RESEARCH
卷 42, 期 D1, 页码 D917-D921

出版社

OXFORD UNIV PRESS
DOI: 10.1093/nar/gkt1065

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资金

  1. 'AAA/SWITCH-e- infrastructure for e-science' program
  2. Swiss Platform for High-Performance and High-Productivity Computing (HP2C)
  3. Swiss National Science Foundation [31003A 133011/1, CR32I3_143768, 132476, 136477]
  4. Etat de Vaud
  5. Fondation du 450eme anniversaire de l'Universite de Lausanne

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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.

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