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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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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. |
format | Online Article Text |
id | pubmed-9835474 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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