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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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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. |
format | Online Article Text |
id | pubmed-4343279 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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