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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...

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Autores principales: 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
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
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.
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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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