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COnTORT: COmprehensive Transcriptomic ORganizational Tool for Simultaneously Retrieving and Organizing Numerous Gene Expression Data Sets from the NCBI Gene Expression Omnibus Database

We introduce COnTORT (COmprehensive Transcriptomic ORganizational Tool), a publicly available program that retrieves all available gene expression data and associated metadata for an organism from the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) database. The da...

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Detalles Bibliográficos
Autores principales: Myers, Kevin S., Place, Michael, Noguera, Daniel R., Donohue, Timothy J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7303417/
https://www.ncbi.nlm.nih.gov/pubmed/32554783
http://dx.doi.org/10.1128/MRA.00587-20
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author Myers, Kevin S.
Place, Michael
Noguera, Daniel R.
Donohue, Timothy J.
author_facet Myers, Kevin S.
Place, Michael
Noguera, Daniel R.
Donohue, Timothy J.
author_sort Myers, Kevin S.
collection PubMed
description We introduce COnTORT (COmprehensive Transcriptomic ORganizational Tool), a publicly available program that retrieves all available gene expression data and associated metadata for an organism from the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) database. The data are compiled into text files that can be used for downstream bioinformatic applications.
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spelling pubmed-73034172020-07-01 COnTORT: COmprehensive Transcriptomic ORganizational Tool for Simultaneously Retrieving and Organizing Numerous Gene Expression Data Sets from the NCBI Gene Expression Omnibus Database Myers, Kevin S. Place, Michael Noguera, Daniel R. Donohue, Timothy J. Microbiol Resour Announc Databases and Software We introduce COnTORT (COmprehensive Transcriptomic ORganizational Tool), a publicly available program that retrieves all available gene expression data and associated metadata for an organism from the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) database. The data are compiled into text files that can be used for downstream bioinformatic applications. American Society for Microbiology 2020-06-18 /pmc/articles/PMC7303417/ /pubmed/32554783 http://dx.doi.org/10.1128/MRA.00587-20 Text en Copyright © 2020 Myers et al. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Databases and Software
Myers, Kevin S.
Place, Michael
Noguera, Daniel R.
Donohue, Timothy J.
COnTORT: COmprehensive Transcriptomic ORganizational Tool for Simultaneously Retrieving and Organizing Numerous Gene Expression Data Sets from the NCBI Gene Expression Omnibus Database
title COnTORT: COmprehensive Transcriptomic ORganizational Tool for Simultaneously Retrieving and Organizing Numerous Gene Expression Data Sets from the NCBI Gene Expression Omnibus Database
title_full COnTORT: COmprehensive Transcriptomic ORganizational Tool for Simultaneously Retrieving and Organizing Numerous Gene Expression Data Sets from the NCBI Gene Expression Omnibus Database
title_fullStr COnTORT: COmprehensive Transcriptomic ORganizational Tool for Simultaneously Retrieving and Organizing Numerous Gene Expression Data Sets from the NCBI Gene Expression Omnibus Database
title_full_unstemmed COnTORT: COmprehensive Transcriptomic ORganizational Tool for Simultaneously Retrieving and Organizing Numerous Gene Expression Data Sets from the NCBI Gene Expression Omnibus Database
title_short COnTORT: COmprehensive Transcriptomic ORganizational Tool for Simultaneously Retrieving and Organizing Numerous Gene Expression Data Sets from the NCBI Gene Expression Omnibus Database
title_sort contort: comprehensive transcriptomic organizational tool for simultaneously retrieving and organizing numerous gene expression data sets from the ncbi gene expression omnibus database
topic Databases and Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7303417/
https://www.ncbi.nlm.nih.gov/pubmed/32554783
http://dx.doi.org/10.1128/MRA.00587-20
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