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PMID: 20459805 Published · epublish English Journal Article Research Support, Non-U.S. Gov't

Ensembl variation resources.

BMC genomics ·Vol. 11 ·2010-05-11 ·Pages 293

Chen Y, Cunningham F, Rios D, McLaren WM, Smith J, Pritchard B, Spudich GM, Brent S, Kulesha E, Marin-Garcia P, Smedley D, Birney E, Flicek P

Abstract

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. 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. 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.

MeSH Terms
Algorithms Animals Base Sequence Cattle Databases, Genetic Genetic Variation Genomics/methods Genotype Humans Internet Linkage Disequilibrium Mice Phenotype Phylogeny Polymorphism, Single Nucleotide Rats Sequence Analysis, DNA User-Computer Interface
Authors & Affiliations
13 authors, click to expand affiliations / ORCID
Chen Yuan
European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
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
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Article Info
Journal
BMC genomics
Abbr.
BMC Genomics
ISSN
1471-2164
Published
2010-05-11
Epub
2010-00-11
Pages
293
Language
English
Region
England
NLM ID
100965258
PMCID
PMC2894800
Subset
IM
Grants
Medical Research Council · United Kingdom
Wellcome Trust · United Kingdom
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