| URL: | http://hsb.upf.edu |
| Full name: | The 1000 Genomes Selection Browser |
| Description: | The 1000 Genomes Selection Browser has 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). |
| Year founded: | 2014 |
| Last update: | 2014 |
| Version: | 1.0 |
| Accessibility: |
Accessible
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| Country/Region: | Germany |
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| University/Institution: | Max Planck Institute for Evolutionary Anthropology |
| Address: | Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany |
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| Country/Region: | Germany |
| Contact name (PI/Team): | Johannes Engelken |
| Contact email (PI/Helpdesk): | johannesengelken@yahoo.com |
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1000 Genomes Selection Browser 1.0: a genome browser dedicated to signatures of natural selection in modern humans. [PMID: 24275494]
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, ?iHH, iHS, F(ST), ?DAF 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. |