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GEOfetch: a command-line tool for downloading data and standardized metadata from GEO and SRA
MOTIVATION: The Gene Expression Omnibus has become an important source of biological data for secondary analysis. However, there is no simple, programmatic way to download data and metadata from Gene Expression Omnibus (GEO) in a standardized annotation format. RESULTS: To address this, we present G...
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/PMC9982356/ https://www.ncbi.nlm.nih.gov/pubmed/36857584 http://dx.doi.org/10.1093/bioinformatics/btad069 |
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author | Khoroshevskyi, Oleksandr LeRoy, Nathan Reuter, Vincent P Sheffield, Nathan C |
author_facet | Khoroshevskyi, Oleksandr LeRoy, Nathan Reuter, Vincent P Sheffield, Nathan C |
author_sort | Khoroshevskyi, Oleksandr |
collection | PubMed |
description | MOTIVATION: The Gene Expression Omnibus has become an important source of biological data for secondary analysis. However, there is no simple, programmatic way to download data and metadata from Gene Expression Omnibus (GEO) in a standardized annotation format. RESULTS: To address this, we present GEOfetch—a command-line tool that downloads and organizes data and metadata from GEO and SRA. GEOfetch formats the downloaded metadata as a Portable Encapsulated Project, providing universal format for the reanalysis of public data. AVAILABILITY AND IMPLEMENTATION: GEOfetch is available on Bioconda and the Python Package Index (PyPI). |
format | Online Article Text |
id | pubmed-9982356 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-99823562023-03-04 GEOfetch: a command-line tool for downloading data and standardized metadata from GEO and SRA Khoroshevskyi, Oleksandr LeRoy, Nathan Reuter, Vincent P Sheffield, Nathan C Bioinformatics Applications Note MOTIVATION: The Gene Expression Omnibus has become an important source of biological data for secondary analysis. However, there is no simple, programmatic way to download data and metadata from Gene Expression Omnibus (GEO) in a standardized annotation format. RESULTS: To address this, we present GEOfetch—a command-line tool that downloads and organizes data and metadata from GEO and SRA. GEOfetch formats the downloaded metadata as a Portable Encapsulated Project, providing universal format for the reanalysis of public data. AVAILABILITY AND IMPLEMENTATION: GEOfetch is available on Bioconda and the Python Package Index (PyPI). Oxford University Press 2023-03-01 /pmc/articles/PMC9982356/ /pubmed/36857584 http://dx.doi.org/10.1093/bioinformatics/btad069 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 Khoroshevskyi, Oleksandr LeRoy, Nathan Reuter, Vincent P Sheffield, Nathan C GEOfetch: a command-line tool for downloading data and standardized metadata from GEO and SRA |
title | GEOfetch: a command-line tool for downloading data and standardized metadata from GEO and SRA |
title_full | GEOfetch: a command-line tool for downloading data and standardized metadata from GEO and SRA |
title_fullStr | GEOfetch: a command-line tool for downloading data and standardized metadata from GEO and SRA |
title_full_unstemmed | GEOfetch: a command-line tool for downloading data and standardized metadata from GEO and SRA |
title_short | GEOfetch: a command-line tool for downloading data and standardized metadata from GEO and SRA |
title_sort | geofetch: a command-line tool for downloading data and standardized metadata from geo and sra |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9982356/ https://www.ncbi.nlm.nih.gov/pubmed/36857584 http://dx.doi.org/10.1093/bioinformatics/btad069 |
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