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

• DOI: 10.1186/s12859-015-0453-z
• Publication Date: 2015-02-17T10:25:17Z
• Authors: Koki Tsuyuzaki; Gota Morota; Manabu Ishii; Takeru Nakazato; Satoru Miyazaki; Itoshi Nikaido
• Keywords: 570; PubMed; Annotation; 0206 medical engineering; 610; Information Storage and Retrieval; 02 engineering and technology; Biochemistry; Medical Subject Headings; Animals; Humans; Meat Science; Molecular Biology; Caloric Restriction; Oligonucleotide Array Sequence Analysis; MeSH; Enrichment analysis; Gene Expression Profiling; Computational Biology; Genetics and Genomics; Molecular Sequence Annotation; Computer Science Applications; Rats; Vocabulary, Controlled; Animal Sciences; Pseudomonas aeruginosa; Over-representation analysis; Software; Genome-Wide Association Study

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.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.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.