multiMiR

DOI: 10.18129/B9.bioc.multiMiR    

Integration of multiple microRNA-target databases with their disease and drug associations

Bioconductor version: Release (3.6)

A collection of microRNAs/targets from external resources, including validated microRNA-target databases (miRecords, miRTarBase and TarBase), predicted microRNA-target databases (DIANA-microT, ElMMo, MicroCosm, miRanda, miRDB, PicTar, PITA and TargetScan) and microRNA-disease/drug databases (miR2Disease, Pharmaco-miR VerSe and PhenomiR).

Author: Yuanbin Ru [aut], Matt Mulvahill [cre, aut], Spencer Mahaffey [aut], Katerina Kechris [aut, cph, ths]

Maintainer: Matt Mulvahill <matthew.mulvahill at ucdenver.edu>

Citation (from within R, enter citation("multiMiR")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("multiMiR")

Documentation

HTML R Script The multiMiR user's guide
PDF   Reference Manual
Text   LICENSE

Details

biocViews Homo_sapiens_Data, Mus_musculus_Data, OrganismData, Rattus_norvegicus_Data, Software, miRNAData
Version 1.1.0
License MIT + file LICENSE
Depends R (>= 3.4)
Imports stats, XML, RCurl, purrr (>= 0.2.2), tibble (>= 1.2), methods, BiocGenerics, AnnotationDbi, dplyr
LinkingTo
Suggests BiocStyle, edgeR, knitr, rmarkdown, testthat (>= 1.0.2)
SystemRequirements
Enhances
URL https://github.com/KechrisLab/multiMiR
BugReports https://github.com/KechrisLab/multiMiR/issues
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package multiMiR_1.1.0.tar.gz
Windows Binary multiMiR_1.1.0.zip
Mac OS X 10.11 (El Capitan) multiMiR_1.1.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/multiMiR
Package Short Url http://bioconductor.org/packages/multiMiR/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.6 Source Archive

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