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MeSH ORA framework: R/Bioconductor packages to support MeSH over-representation analysis

BACKGROUND: In genome-wide studies, over-representation analysis (ORA) against a set of genes is an essential step for biological interpretation. Many gene annotation resources and software platforms for ORA have been proposed. Recently, Medical Subject Headings (MeSH) terms, which are annotations o...

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Autores principales: Tsuyuzaki, Koki, Morota, Gota, Ishii, Manabu, Nakazato, Takeru, Miyazaki, Satoru, Nikaido, Itoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4343279/
https://www.ncbi.nlm.nih.gov/pubmed/25887539
http://dx.doi.org/10.1186/s12859-015-0453-z
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author Tsuyuzaki, Koki
Morota, Gota
Ishii, Manabu
Nakazato, Takeru
Miyazaki, Satoru
Nikaido, Itoshi
author_facet Tsuyuzaki, Koki
Morota, Gota
Ishii, Manabu
Nakazato, Takeru
Miyazaki, Satoru
Nikaido, Itoshi
author_sort Tsuyuzaki, Koki
collection PubMed
description BACKGROUND: In genome-wide studies, over-representation analysis (ORA) against a set of genes is an essential step for biological interpretation. Many gene annotation resources and software platforms for ORA have been proposed. Recently, Medical Subject Headings (MeSH) terms, which are annotations of PubMed documents, have been used for ORA. MeSH enables the extraction of broader meaning from the gene lists and is expected to become an exhaustive annotation resource for ORA. However, the existing MeSH ORA software platforms are still not sufficient for several reasons. RESULTS: In this work, we developed an original MeSH ORA framework composed of six types of R packages, including MeSH.db, MeSH.AOR.db, MeSH.PCR.db, the org.MeSH.XXX.db-type packages, MeSHDbi, and meshr. CONCLUSIONS: Using our framework, users can easily conduct MeSH ORA. By utilizing the enriched MeSH terms, related PubMed documents can be retrieved and saved on local machines within this framework. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-015-0453-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-43432792015-02-28 MeSH ORA framework: R/Bioconductor packages to support MeSH over-representation analysis Tsuyuzaki, Koki Morota, Gota Ishii, Manabu Nakazato, Takeru Miyazaki, Satoru Nikaido, Itoshi BMC Bioinformatics Software BACKGROUND: In genome-wide studies, over-representation analysis (ORA) against a set of genes is an essential step for biological interpretation. Many gene annotation resources and software platforms for ORA have been proposed. Recently, Medical Subject Headings (MeSH) terms, which are annotations of PubMed documents, have been used for ORA. MeSH enables the extraction of broader meaning from the gene lists and is expected to become an exhaustive annotation resource for ORA. However, the existing MeSH ORA software platforms are still not sufficient for several reasons. RESULTS: In this work, we developed an original MeSH ORA framework composed of six types of R packages, including MeSH.db, MeSH.AOR.db, MeSH.PCR.db, the org.MeSH.XXX.db-type packages, MeSHDbi, and meshr. CONCLUSIONS: Using our framework, users can easily conduct MeSH ORA. By utilizing the enriched MeSH terms, related PubMed documents can be retrieved and saved on local machines within this framework. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-015-0453-z) contains supplementary material, which is available to authorized users. BioMed Central 2015-02-15 /pmc/articles/PMC4343279/ /pubmed/25887539 http://dx.doi.org/10.1186/s12859-015-0453-z Text en © Tsuyuzaki et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Software
Tsuyuzaki, Koki
Morota, Gota
Ishii, Manabu
Nakazato, Takeru
Miyazaki, Satoru
Nikaido, Itoshi
MeSH ORA framework: R/Bioconductor packages to support MeSH over-representation analysis
title MeSH ORA framework: R/Bioconductor packages to support MeSH over-representation analysis
title_full MeSH ORA framework: R/Bioconductor packages to support MeSH over-representation analysis
title_fullStr MeSH ORA framework: R/Bioconductor packages to support MeSH over-representation analysis
title_full_unstemmed MeSH ORA framework: R/Bioconductor packages to support MeSH over-representation analysis
title_short MeSH ORA framework: R/Bioconductor packages to support MeSH over-representation analysis
title_sort mesh ora framework: r/bioconductor packages to support mesh over-representation analysis
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4343279/
https://www.ncbi.nlm.nih.gov/pubmed/25887539
http://dx.doi.org/10.1186/s12859-015-0453-z
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