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EPGD: a comprehensive web resource for integrating and displaying eukaryotic paralog/paralogon information
Gene duplication is common in all three domains of life, especially in eukaryotic genomes. The duplicates provide new material for the action of evolutionary forces such as selection or genetic drift. Here we describe a sophisticated procedure to extract duplicated genes (paralogs) from 26 available...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2238967/ https://www.ncbi.nlm.nih.gov/pubmed/17984073 http://dx.doi.org/10.1093/nar/gkm924 |
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author | Ding, Guohui Sun, Yan Li, Hong Wang, Zhen Fan, Haiwei Wang, Chuan Yang, Dan Li, Yixue |
author_facet | Ding, Guohui Sun, Yan Li, Hong Wang, Zhen Fan, Haiwei Wang, Chuan Yang, Dan Li, Yixue |
author_sort | Ding, Guohui |
collection | PubMed |
description | Gene duplication is common in all three domains of life, especially in eukaryotic genomes. The duplicates provide new material for the action of evolutionary forces such as selection or genetic drift. Here we describe a sophisticated procedure to extract duplicated genes (paralogs) from 26 available eukaryotic genomes, to pre-calculate several evolutionary indexes (evolutionary rate, synonymous distance/clock, transition redundant exchange clock, etc.) based on the paralog family, and to identify block or segmental duplications (paralogons). We also constructed an internet-accessible Eukaryotic Paralog Group Database (EPGD; http://epgd.biosino.org/EPGD/). The database is gene-centered and organized by paralog family. It focuses on paralogs and evolutionary duplication events. The paralog families and paralogons can be searched by text or sequence, and are downloadable from the website as plain text files. The database will be very useful for both experimentalists and bioinformaticians interested in the study of duplication events or paralog families. |
format | Text |
id | pubmed-2238967 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-22389672008-02-12 EPGD: a comprehensive web resource for integrating and displaying eukaryotic paralog/paralogon information Ding, Guohui Sun, Yan Li, Hong Wang, Zhen Fan, Haiwei Wang, Chuan Yang, Dan Li, Yixue Nucleic Acids Res Articles Gene duplication is common in all three domains of life, especially in eukaryotic genomes. The duplicates provide new material for the action of evolutionary forces such as selection or genetic drift. Here we describe a sophisticated procedure to extract duplicated genes (paralogs) from 26 available eukaryotic genomes, to pre-calculate several evolutionary indexes (evolutionary rate, synonymous distance/clock, transition redundant exchange clock, etc.) based on the paralog family, and to identify block or segmental duplications (paralogons). We also constructed an internet-accessible Eukaryotic Paralog Group Database (EPGD; http://epgd.biosino.org/EPGD/). The database is gene-centered and organized by paralog family. It focuses on paralogs and evolutionary duplication events. The paralog families and paralogons can be searched by text or sequence, and are downloadable from the website as plain text files. The database will be very useful for both experimentalists and bioinformaticians interested in the study of duplication events or paralog families. Oxford University Press 2008-01 2007-11-05 /pmc/articles/PMC2238967/ /pubmed/17984073 http://dx.doi.org/10.1093/nar/gkm924 Text en © 2007 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Ding, Guohui Sun, Yan Li, Hong Wang, Zhen Fan, Haiwei Wang, Chuan Yang, Dan Li, Yixue EPGD: a comprehensive web resource for integrating and displaying eukaryotic paralog/paralogon information |
title | EPGD: a comprehensive web resource for integrating and displaying eukaryotic paralog/paralogon information |
title_full | EPGD: a comprehensive web resource for integrating and displaying eukaryotic paralog/paralogon information |
title_fullStr | EPGD: a comprehensive web resource for integrating and displaying eukaryotic paralog/paralogon information |
title_full_unstemmed | EPGD: a comprehensive web resource for integrating and displaying eukaryotic paralog/paralogon information |
title_short | EPGD: a comprehensive web resource for integrating and displaying eukaryotic paralog/paralogon information |
title_sort | epgd: a comprehensive web resource for integrating and displaying eukaryotic paralog/paralogon information |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2238967/ https://www.ncbi.nlm.nih.gov/pubmed/17984073 http://dx.doi.org/10.1093/nar/gkm924 |
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