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Efficient querying of genomic reference databases with gget

MOTIVATION: A recurring challenge in interpreting genomic data is the assessment of results in the context of existing reference databases. With the increasing number of command line and Python users, there is a need for tools implementing automated, easy programmatic access to curated reference inf...

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Detalles Bibliográficos
Autores principales: Luebbert, Laura, Pachter, Lior
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9835474/
https://www.ncbi.nlm.nih.gov/pubmed/36610989
http://dx.doi.org/10.1093/bioinformatics/btac836
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author Luebbert, Laura
Pachter, Lior
author_facet Luebbert, Laura
Pachter, Lior
author_sort Luebbert, Laura
collection PubMed
description MOTIVATION: A recurring challenge in interpreting genomic data is the assessment of results in the context of existing reference databases. With the increasing number of command line and Python users, there is a need for tools implementing automated, easy programmatic access to curated reference information stored in a diverse collection of large, public genomic databases. RESULTS: gget is a free and open-source command line tool and Python package that enables efficient querying of genomic reference databases, such as Ensembl. gget consists of a collection of separate but interoperable modules, each designed to facilitate one type of database querying required for genomic data analysis in a single line of code. AVAILABILITY AND IMPLEMENTATION: The manual and source code are available at https://github.com/pachterlab/gget. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-98354742023-01-17 Efficient querying of genomic reference databases with gget Luebbert, Laura Pachter, Lior Bioinformatics Applications Note MOTIVATION: A recurring challenge in interpreting genomic data is the assessment of results in the context of existing reference databases. With the increasing number of command line and Python users, there is a need for tools implementing automated, easy programmatic access to curated reference information stored in a diverse collection of large, public genomic databases. RESULTS: gget is a free and open-source command line tool and Python package that enables efficient querying of genomic reference databases, such as Ensembl. gget consists of a collection of separate but interoperable modules, each designed to facilitate one type of database querying required for genomic data analysis in a single line of code. AVAILABILITY AND IMPLEMENTATION: The manual and source code are available at https://github.com/pachterlab/gget. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2023-01-05 /pmc/articles/PMC9835474/ /pubmed/36610989 http://dx.doi.org/10.1093/bioinformatics/btac836 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://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 Note
Luebbert, Laura
Pachter, Lior
Efficient querying of genomic reference databases with gget
title Efficient querying of genomic reference databases with gget
title_full Efficient querying of genomic reference databases with gget
title_fullStr Efficient querying of genomic reference databases with gget
title_full_unstemmed Efficient querying of genomic reference databases with gget
title_short Efficient querying of genomic reference databases with gget
title_sort efficient querying of genomic reference databases with gget
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9835474/
https://www.ncbi.nlm.nih.gov/pubmed/36610989
http://dx.doi.org/10.1093/bioinformatics/btac836
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