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A database and API for variation, dense genotyping and resequencing data
BACKGROUND: Advances in sequencing and genotyping technologies are leading to the widespread availability of multi-species variation data, dense genotype data and large-scale resequencing projects. The 1000 Genomes Project and similar efforts in other species are challenging the methods previously u...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2882931/ https://www.ncbi.nlm.nih.gov/pubmed/20459810 http://dx.doi.org/10.1186/1471-2105-11-238 |
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author | Rios, Daniel McLaren, William M Chen, Yuan Birney, Ewan Stabenau, Arne Flicek, Paul Cunningham, Fiona |
author_facet | Rios, Daniel McLaren, William M Chen, Yuan Birney, Ewan Stabenau, Arne Flicek, Paul Cunningham, Fiona |
author_sort | Rios, Daniel |
collection | PubMed |
description | BACKGROUND: Advances in sequencing and genotyping technologies are leading to the widespread availability of multi-species variation data, dense genotype data and large-scale resequencing projects. The 1000 Genomes Project and similar efforts in other species are challenging the methods previously used for storage and manipulation of such data necessitating the redesign of existing genome-wide bioinformatics resources. RESULTS: Ensembl has created a database and software library to support data storage, analysis and access to the existing and emerging variation data from large mammalian and vertebrate genomes. These tools scale to thousands of individual genome sequences and are integrated into the Ensembl infrastructure for genome annotation and visualisation. The database and software system is easily expanded to integrate both public and non-public data sources in the context of an Ensembl software installation and is already being used outside of the Ensembl project in a number of database and application environments. CONCLUSIONS: Ensembl's powerful, flexible and open source infrastructure for the management of variation, genotyping and resequencing data is freely available at http://www.ensembl.org. |
format | Text |
id | pubmed-2882931 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-28829312010-06-10 A database and API for variation, dense genotyping and resequencing data Rios, Daniel McLaren, William M Chen, Yuan Birney, Ewan Stabenau, Arne Flicek, Paul Cunningham, Fiona BMC Bioinformatics Software BACKGROUND: Advances in sequencing and genotyping technologies are leading to the widespread availability of multi-species variation data, dense genotype data and large-scale resequencing projects. The 1000 Genomes Project and similar efforts in other species are challenging the methods previously used for storage and manipulation of such data necessitating the redesign of existing genome-wide bioinformatics resources. RESULTS: Ensembl has created a database and software library to support data storage, analysis and access to the existing and emerging variation data from large mammalian and vertebrate genomes. These tools scale to thousands of individual genome sequences and are integrated into the Ensembl infrastructure for genome annotation and visualisation. The database and software system is easily expanded to integrate both public and non-public data sources in the context of an Ensembl software installation and is already being used outside of the Ensembl project in a number of database and application environments. CONCLUSIONS: Ensembl's powerful, flexible and open source infrastructure for the management of variation, genotyping and resequencing data is freely available at http://www.ensembl.org. BioMed Central 2010-05-11 /pmc/articles/PMC2882931/ /pubmed/20459810 http://dx.doi.org/10.1186/1471-2105-11-238 Text en Copyright ©2010 Rios 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 | Software Rios, Daniel McLaren, William M Chen, Yuan Birney, Ewan Stabenau, Arne Flicek, Paul Cunningham, Fiona A database and API for variation, dense genotyping and resequencing data |
title | A database and API for variation, dense genotyping and resequencing data |
title_full | A database and API for variation, dense genotyping and resequencing data |
title_fullStr | A database and API for variation, dense genotyping and resequencing data |
title_full_unstemmed | A database and API for variation, dense genotyping and resequencing data |
title_short | A database and API for variation, dense genotyping and resequencing data |
title_sort | database and api for variation, dense genotyping and resequencing data |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2882931/ https://www.ncbi.nlm.nih.gov/pubmed/20459810 http://dx.doi.org/10.1186/1471-2105-11-238 |
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