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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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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. |
format | Online Article Text |
id | pubmed-6310513 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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