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ensembldb: an R package to create and use Ensembl-based annotation resources

SUMMARY: Bioinformatics research frequently involves handling gene-centric data such as exons, transcripts, proteins and their positions relative to a reference coordinate system. The ensembldb Bioconductor package retrieves and stores Ensembl-based genetic annotations and positional information, an...

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Autores principales: Rainer, Johannes, Gatto, Laurent, Weichenberger, Christian X
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6736197/
https://www.ncbi.nlm.nih.gov/pubmed/30689724
http://dx.doi.org/10.1093/bioinformatics/btz031
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author Rainer, Johannes
Gatto, Laurent
Weichenberger, Christian X
author_facet Rainer, Johannes
Gatto, Laurent
Weichenberger, Christian X
author_sort Rainer, Johannes
collection PubMed
description SUMMARY: Bioinformatics research frequently involves handling gene-centric data such as exons, transcripts, proteins and their positions relative to a reference coordinate system. The ensembldb Bioconductor package retrieves and stores Ensembl-based genetic annotations and positional information, and furthermore offers identifier conversion and coordinates mappings for gene-associated data. In support of reproducible research, data are tied to Ensembl releases and are kept separately from the software. Premade data packages are available for a variety of genomes and Ensembl releases. Three examples demonstrate typical use cases of this software. AVAILABILITY AND IMPLEMENTATION: ensembldb is part of Bioconductor (https://bioconductor.org/packages/ensembldb). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-67361972019-09-16 ensembldb: an R package to create and use Ensembl-based annotation resources Rainer, Johannes Gatto, Laurent Weichenberger, Christian X Bioinformatics Applications Notes SUMMARY: Bioinformatics research frequently involves handling gene-centric data such as exons, transcripts, proteins and their positions relative to a reference coordinate system. The ensembldb Bioconductor package retrieves and stores Ensembl-based genetic annotations and positional information, and furthermore offers identifier conversion and coordinates mappings for gene-associated data. In support of reproducible research, data are tied to Ensembl releases and are kept separately from the software. Premade data packages are available for a variety of genomes and Ensembl releases. Three examples demonstrate typical use cases of this software. AVAILABILITY AND IMPLEMENTATION: ensembldb is part of Bioconductor (https://bioconductor.org/packages/ensembldb). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2019-09-01 2019-01-25 /pmc/articles/PMC6736197/ /pubmed/30689724 http://dx.doi.org/10.1093/bioinformatics/btz031 Text en © The Author(s) 2019. 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 Applications Notes
Rainer, Johannes
Gatto, Laurent
Weichenberger, Christian X
ensembldb: an R package to create and use Ensembl-based annotation resources
title ensembldb: an R package to create and use Ensembl-based annotation resources
title_full ensembldb: an R package to create and use Ensembl-based annotation resources
title_fullStr ensembldb: an R package to create and use Ensembl-based annotation resources
title_full_unstemmed ensembldb: an R package to create and use Ensembl-based annotation resources
title_short ensembldb: an R package to create and use Ensembl-based annotation resources
title_sort ensembldb: an r package to create and use ensembl-based annotation resources
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6736197/
https://www.ncbi.nlm.nih.gov/pubmed/30689724
http://dx.doi.org/10.1093/bioinformatics/btz031
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