Efficient querying of genomic reference databases with gget
Abstract 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 refer...
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Veröffentlicht in: | Bioinformatics (Oxford, England) England), 2023-01, Vol.39 (1) |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Abstract
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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ISSN: | 1367-4811 1367-4803 1367-4811 |
DOI: | 10.1093/bioinformatics/btac836 |