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TabSQL: a MySQL tool to facilitate mapping user data to public databases

BACKGROUND: With advances in high-throughput genomics and proteomics, it is challenging for biologists to deal with large data files and to map their data to annotations in public databases. RESULTS: We developed TabSQL, a MySQL-based application tool, for viewing, filtering and querying data files...

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Detalles Bibliográficos
Autores principales: Xia, Xiao-Qin, McClelland, Michael, Wang, Yipeng
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2909216/
https://www.ncbi.nlm.nih.gov/pubmed/20573251
http://dx.doi.org/10.1186/1471-2105-11-342
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author Xia, Xiao-Qin
McClelland, Michael
Wang, Yipeng
author_facet Xia, Xiao-Qin
McClelland, Michael
Wang, Yipeng
author_sort Xia, Xiao-Qin
collection PubMed
description BACKGROUND: With advances in high-throughput genomics and proteomics, it is challenging for biologists to deal with large data files and to map their data to annotations in public databases. RESULTS: We developed TabSQL, a MySQL-based application tool, for viewing, filtering and querying data files with large numbers of rows. TabSQL provides functions for downloading and installing table files from public databases including the Gene Ontology database (GO), the Ensembl databases, and genome databases from the UCSC genome bioinformatics site. Any other database that provides tab-delimited flat files can also be imported. The downloaded gene annotation tables can be queried together with users' data in TabSQL using either a graphic interface or command line. CONCLUSIONS: TabSQL allows queries across the user's data and public databases without programming. It is a convenient tool for biologists to annotate and enrich their data.
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spelling pubmed-29092162010-07-24 TabSQL: a MySQL tool to facilitate mapping user data to public databases Xia, Xiao-Qin McClelland, Michael Wang, Yipeng BMC Bioinformatics Software BACKGROUND: With advances in high-throughput genomics and proteomics, it is challenging for biologists to deal with large data files and to map their data to annotations in public databases. RESULTS: We developed TabSQL, a MySQL-based application tool, for viewing, filtering and querying data files with large numbers of rows. TabSQL provides functions for downloading and installing table files from public databases including the Gene Ontology database (GO), the Ensembl databases, and genome databases from the UCSC genome bioinformatics site. Any other database that provides tab-delimited flat files can also be imported. The downloaded gene annotation tables can be queried together with users' data in TabSQL using either a graphic interface or command line. CONCLUSIONS: TabSQL allows queries across the user's data and public databases without programming. It is a convenient tool for biologists to annotate and enrich their data. BioMed Central 2010-06-23 /pmc/articles/PMC2909216/ /pubmed/20573251 http://dx.doi.org/10.1186/1471-2105-11-342 Text en Copyright ©2010 Xia et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software
Xia, Xiao-Qin
McClelland, Michael
Wang, Yipeng
TabSQL: a MySQL tool to facilitate mapping user data to public databases
title TabSQL: a MySQL tool to facilitate mapping user data to public databases
title_full TabSQL: a MySQL tool to facilitate mapping user data to public databases
title_fullStr TabSQL: a MySQL tool to facilitate mapping user data to public databases
title_full_unstemmed TabSQL: a MySQL tool to facilitate mapping user data to public databases
title_short TabSQL: a MySQL tool to facilitate mapping user data to public databases
title_sort tabsql: a mysql tool to facilitate mapping user data to public databases
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2909216/
https://www.ncbi.nlm.nih.gov/pubmed/20573251
http://dx.doi.org/10.1186/1471-2105-11-342
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