PT  - JOURNAL ARTICLE
AU  - Luebbert, Laura
AU  - Pachter, Lior
TI  - Efficient querying of genomic reference databases with <em>gget</em>
AID  - 10.1101/2022.05.17.492392
DP  - 2022 Jan 01
TA  - bioRxiv
PG  - 2022.05.17.492392
4099  - http://biorxiv.org/content/early/2022/05/27/2022.05.17.492392.short
4100  - http://biorxiv.org/content/early/2022/05/27/2022.05.17.492392.full
AB  - Motivation A recurring challenge in interpreting genomic data is the assessment of results in the context of existing reference databases. Currently, there is no tool 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 The manual and source code are available at https://github.com/pachterlab/gget.Contact lpachter{at}caltech.eduCompeting Interest StatementThe authors have declared no competing interest.