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Ensembl variation resources
BACKGROUND: The maturing field of genomics is rapidly increasing the number of sequenced genomes and producing more information from those previously sequenced. Much of this additional information is variation data derived from sampling multiple individuals of a given species with the goal of discov...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2894800/ https://www.ncbi.nlm.nih.gov/pubmed/20459805 http://dx.doi.org/10.1186/1471-2164-11-293 |
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author | Chen, Yuan Cunningham, Fiona Rios, Daniel McLaren, William M Smith, James Pritchard, Bethan Spudich, Giulietta M Brent, Simon Kulesha, Eugene Marin-Garcia, Pablo Smedley, Damian Birney, Ewan Flicek, Paul |
author_facet | Chen, Yuan Cunningham, Fiona Rios, Daniel McLaren, William M Smith, James Pritchard, Bethan Spudich, Giulietta M Brent, Simon Kulesha, Eugene Marin-Garcia, Pablo Smedley, Damian Birney, Ewan Flicek, Paul |
author_sort | Chen, Yuan |
collection | PubMed |
description | BACKGROUND: The maturing field of genomics is rapidly increasing the number of sequenced genomes and producing more information from those previously sequenced. Much of this additional information is variation data derived from sampling multiple individuals of a given species with the goal of discovering new variants and characterising the population frequencies of the variants that are already known. These data have immense value for many studies, including those designed to understand evolution and connect genotype to phenotype. Maximising the utility of the data requires that it be stored in an accessible manner that facilitates the integration of variation data with other genome resources such as gene annotation and comparative genomics. DESCRIPTION: The Ensembl project provides comprehensive and integrated variation resources for a wide variety of chordate genomes. This paper provides a detailed description of the sources of data and the methods for creating the Ensembl variation databases. It also explores the utility of the information by explaining the range of query options available, from using interactive web displays, to online data mining tools and connecting directly to the data servers programmatically. It gives a good overview of the variation resources and future plans for expanding the variation data within Ensembl. CONCLUSIONS: Variation data is an important key to understanding the functional and phenotypic differences between individuals. The development of new sequencing and genotyping technologies is greatly increasing the amount of variation data known for almost all genomes. The Ensembl variation resources are integrated into the Ensembl genome browser and provide a comprehensive way to access this data in the context of a widely used genome bioinformatics system. All Ensembl data is freely available at http://www.ensembl.org and from the public MySQL database server at ensembldb.ensembl.org. |
format | Text |
id | pubmed-2894800 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-28948002010-07-01 Ensembl variation resources Chen, Yuan Cunningham, Fiona Rios, Daniel McLaren, William M Smith, James Pritchard, Bethan Spudich, Giulietta M Brent, Simon Kulesha, Eugene Marin-Garcia, Pablo Smedley, Damian Birney, Ewan Flicek, Paul BMC Genomics Database BACKGROUND: The maturing field of genomics is rapidly increasing the number of sequenced genomes and producing more information from those previously sequenced. Much of this additional information is variation data derived from sampling multiple individuals of a given species with the goal of discovering new variants and characterising the population frequencies of the variants that are already known. These data have immense value for many studies, including those designed to understand evolution and connect genotype to phenotype. Maximising the utility of the data requires that it be stored in an accessible manner that facilitates the integration of variation data with other genome resources such as gene annotation and comparative genomics. DESCRIPTION: The Ensembl project provides comprehensive and integrated variation resources for a wide variety of chordate genomes. This paper provides a detailed description of the sources of data and the methods for creating the Ensembl variation databases. It also explores the utility of the information by explaining the range of query options available, from using interactive web displays, to online data mining tools and connecting directly to the data servers programmatically. It gives a good overview of the variation resources and future plans for expanding the variation data within Ensembl. CONCLUSIONS: Variation data is an important key to understanding the functional and phenotypic differences between individuals. The development of new sequencing and genotyping technologies is greatly increasing the amount of variation data known for almost all genomes. The Ensembl variation resources are integrated into the Ensembl genome browser and provide a comprehensive way to access this data in the context of a widely used genome bioinformatics system. All Ensembl data is freely available at http://www.ensembl.org and from the public MySQL database server at ensembldb.ensembl.org. BioMed Central 2010-05-11 /pmc/articles/PMC2894800/ /pubmed/20459805 http://dx.doi.org/10.1186/1471-2164-11-293 Text en Copyright ©2010 Chen et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Chen, Yuan Cunningham, Fiona Rios, Daniel McLaren, William M Smith, James Pritchard, Bethan Spudich, Giulietta M Brent, Simon Kulesha, Eugene Marin-Garcia, Pablo Smedley, Damian Birney, Ewan Flicek, Paul Ensembl variation resources |
title | Ensembl variation resources |
title_full | Ensembl variation resources |
title_fullStr | Ensembl variation resources |
title_full_unstemmed | Ensembl variation resources |
title_short | Ensembl variation resources |
title_sort | ensembl variation resources |
topic | Database |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2894800/ https://www.ncbi.nlm.nih.gov/pubmed/20459805 http://dx.doi.org/10.1186/1471-2164-11-293 |
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