To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("meshr")
In most cases, you don't need to download the package archive at all.
meshr
Tools for conducting enrichment analysis of MeSH
Bioconductor version: 3.0
A set of annotation maps describing the entire MeSH assembled using data from MeSH
Author: Itoshi Nikaido, Koki Tsuyuzaki, Gota Morota
Maintainer: Koki Tsuyuzaki <k.t.the-answer at hotmail.co.jp>
Citation (from within R,
enter citation("meshr")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("meshr")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("meshr")
| R Script | MeSH.db | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | Annotation, AnnotationData, Bioinformatics, FunctionalAnnotation, MultipleComparisons, Software, Statistics |
| Version | 1.2.7 |
| In Bioconductor since | BioC 2.14 (R-3.1) |
| License | Artistic-2.0 |
| Depends | R (>= 3.0.1), fdrtool, Category, BiocGenerics, methods, cummeRbund, org.Hs.eg.db, MeSH.db, MeSH.AOR.db, MeSH.PCR.db, MeSHDbi, org.MeSH.Hsa.db, org.MeSH.Aca.db, org.MeSH.Atu.K84.db, org.MeSH.Bsu.168.db, org.MeSH.Syn.db, S4Vectors |
| Imports | |
| LinkingTo | |
| Suggests | |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | meshr_1.2.7.tar.gz |
| Windows Binary | meshr_1.2.6.zip |
| Mac OS X 10.6 (Snow Leopard) | meshr_1.2.7.tgz |
| Mac OS X 10.9 (Mavericks) | meshr_1.2.6.tgz |
| Browse/checkout source | (username/password: readonly) |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Counting Reads for Differential Expression (parathyroideSE vignette)
- Annotation
- Annotating Variants
- Annotating Ranges
- Flow Cytometry and other assays
- Candidate Binding Sites for Known Transcription Factors
- Cloud-enabled cis-eQTL search and annotation
- RNA-Seq workflow: gene-level exploratory analysis and differential expression
- Changing genomic coordinate systems with rtracklayer::liftOver
- Mass spectrometry and proteomics data analysis
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