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Selectome update: quality control and computational improvements to a database of positive selection
Sébastien Moretti1, Balazs Laurenczy, Walid H Gharib
1Department of Ecology and Evolution, Biophore, University of Lausanne, CH-1015 Lausanne, Switzerland, Evolutionary Bioinformatics group, SIB Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland, Vital-IT group, SIB Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland, Computational Phylogenetics group, SIB Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland, Division of Biosciences, Institute of Structural and Molecular Biology, University College London, Gower Street, London, WC1E 6BT, UK and Swiss National Supercomputing Centre (CSCS), CH-6900, Lugano, Switzerland.
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.
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