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Ensembl variation resources

The major goal of sequencing humans and many other species is to understand the link between genomic variation, phenotype and disease. There are numerous valuable and well-established variation resources, but collating and making sense of non-homogeneous, often large-scale data sets from disparate s...

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Autores principales: Hunt, Sarah E, McLaren, William, Gil, Laurent, Thormann, Anja, Schuilenburg, Helen, Sheppard, Dan, Parton, Andrew, Armean, Irina M, Trevanion, Stephen J, Flicek, Paul, Cunningham, Fiona
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6310513/
https://www.ncbi.nlm.nih.gov/pubmed/30576484
http://dx.doi.org/10.1093/database/bay119
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author Hunt, Sarah E
McLaren, William
Gil, Laurent
Thormann, Anja
Schuilenburg, Helen
Sheppard, Dan
Parton, Andrew
Armean, Irina M
Trevanion, Stephen J
Flicek, Paul
Cunningham, Fiona
author_facet Hunt, Sarah E
McLaren, William
Gil, Laurent
Thormann, Anja
Schuilenburg, Helen
Sheppard, Dan
Parton, Andrew
Armean, Irina M
Trevanion, Stephen J
Flicek, Paul
Cunningham, Fiona
author_sort Hunt, Sarah E
collection PubMed
description The major goal of sequencing humans and many other species is to understand the link between genomic variation, phenotype and disease. There are numerous valuable and well-established variation resources, but collating and making sense of non-homogeneous, often large-scale data sets from disparate sources remains a challenge. Without a systematic catalogue of these data and appropriate query and annotation tools, understanding the genome sequence of an individual and assessing their disease risk is impossible. In Ensembl, we substantially solve this problem: we develop methods to facilitate data integration and broad access; aggregate information in a consistent manner and make it available a variety of standard formats, both visually and programmatically; build analysis pipelines to compare variants to comprehensive genomic annotation sets; and make all tools and data publicly available.
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spelling pubmed-63105132019-01-07 Ensembl variation resources Hunt, Sarah E McLaren, William Gil, Laurent Thormann, Anja Schuilenburg, Helen Sheppard, Dan Parton, Andrew Armean, Irina M Trevanion, Stephen J Flicek, Paul Cunningham, Fiona Database (Oxford) Database Update The major goal of sequencing humans and many other species is to understand the link between genomic variation, phenotype and disease. There are numerous valuable and well-established variation resources, but collating and making sense of non-homogeneous, often large-scale data sets from disparate sources remains a challenge. Without a systematic catalogue of these data and appropriate query and annotation tools, understanding the genome sequence of an individual and assessing their disease risk is impossible. In Ensembl, we substantially solve this problem: we develop methods to facilitate data integration and broad access; aggregate information in a consistent manner and make it available a variety of standard formats, both visually and programmatically; build analysis pipelines to compare variants to comprehensive genomic annotation sets; and make all tools and data publicly available. Oxford University Press 2018-11-06 /pmc/articles/PMC6310513/ /pubmed/30576484 http://dx.doi.org/10.1093/database/bay119 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database Update
Hunt, Sarah E
McLaren, William
Gil, Laurent
Thormann, Anja
Schuilenburg, Helen
Sheppard, Dan
Parton, Andrew
Armean, Irina M
Trevanion, Stephen J
Flicek, Paul
Cunningham, Fiona
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 Update
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6310513/
https://www.ncbi.nlm.nih.gov/pubmed/30576484
http://dx.doi.org/10.1093/database/bay119
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