1000 Genomes Selection Browser 1.0: a genome browser dedicated to signatures of natural selection in modern humans.

Autor: Pybus M; Program for Population Genetics, Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), 08003 Barcelona, Spain, Population Genomics Node, National Institute for Bioinformatics (INB), Universitat Pompeu Fabra, 08003 Barcelona, Spain, Institute of Molecular Biology and Biotechnology-FORTH, Heraklion, Crete GR 700 13, Greece and Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany., Dall'Olio GM, Luisi P, Uzkudun M, Carreño-Torres A, Pavlidis P, Laayouni H, Bertranpetit J, Engelken J
Jazyk: angličtina
Zdroj: Nucleic acids research [Nucleic Acids Res] 2014 Jan; Vol. 42 (Database issue), pp. D903-9. Date of Electronic Publication: 2013 Nov 25.
DOI: 10.1093/nar/gkt1188
Abstrakt: Searching for Darwinian selection in natural populations has been the focus of a multitude of studies over the last decades. Here we present the 1000 Genomes Selection Browser 1.0 (http://hsb.upf.edu) as a resource for signatures of recent natural selection in modern humans. We have implemented and applied a large number of neutrality tests as well as summary statistics informative for the action of selection such as Tajima's D, CLR, Fay and Wu's H, Fu and Li's F* and D*, XPEHH, ΔiHH, iHS, F(ST), ΔDAF and XPCLR among others to low coverage sequencing data from the 1000 genomes project (Phase 1; release April 2012). We have implemented a publicly available genome-wide browser to communicate the results from three different populations of West African, Northern European and East Asian ancestry (YRI, CEU, CHB). Information is provided in UCSC-style format to facilitate the integration with the rich UCSC browser tracks and an access page is provided with instructions and for convenient visualization. We believe that this expandable resource will facilitate the interpretation of signals of selection on different temporal, geographical and genomic scales.
Databáze: MEDLINE