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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.
Affiliation
  • Hunt SE; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
  • McLaren W; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
  • Gil L; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
  • Thormann A; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
  • Schuilenburg H; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
  • Sheppard D; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
  • Parton A; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
  • Armean IM; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
  • Trevanion SJ; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
  • Flicek P; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
  • Cunningham F; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
Database (Oxford) ; 20182018 01 01.
Article de En | MEDLINE | ID: mdl-30576484
ABSTRACT
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.
Sujet(s)

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Systèmes de gestion de bases de données / Génomique / Bases de données génétiques / Annotation de séquence moléculaire Limites: Humans Langue: En Journal: Database (Oxford) Année: 2018 Type de document: Article Pays d'affiliation: Royaume-Uni

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Systèmes de gestion de bases de données / Génomique / Bases de données génétiques / Annotation de séquence moléculaire Limites: Humans Langue: En Journal: Database (Oxford) Année: 2018 Type de document: Article Pays d'affiliation: Royaume-Uni
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