multiMiR
This is the released version of multiMiR; for the devel version, see multiMiR.
All Bioconductor versions of multiMiR
3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6
Integration of multiple microRNA-target databases with their disease and drug associations
Bioconductor version: 3.23 · Package version: 1.34.0
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 [aut], Spencer Mahaffey [cre, aut], Katerina Kechris [aut, cph, ths]
Maintainer: Spencer Mahaffey <Spencer.Mahaffey at cuanschutz.edu>
Citation
From within R, enter citation("multiMiR"):
Yuanbin Ru, Matt Mulvahill, Spencer Mahaffey, Katerina Kechris. multiMiR: Integration of multiple microRNA-target databases with their disease and drug associations. doi:10.18129/B9.bioc.multiMiR, R package version 1.34.0, https://bioconductor.org/packages/multiMiR.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("multiMiR")For older versions of R, please refer to the appropriate Bioconductor release.
Details
| Version | 1.34.0 |
| License | MIT + file LICENSE |
| URL | https://github.com/KechrisLab/multiMiR |
| Bug Reports | https://github.com/KechrisLab/multiMiR/issues |
| Last updated | 2026-04-28 |
| In Bioconductor since | BioC 3.6 (R-3.4) (8 years) |
| Downloads rank | 294 of 2,418 |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | Homo_sapiens_Data, Mus_musculus_Data, OrganismData, Rattus_norvegicus_Data, Software, miRNAData |
| Package Short Url | https://bioconductor.org/packages/multiMiR/ |
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("multiMiR")| The multiMiR user's guide | HTML | R Script |
| Reference Manual |
Download
Follow the installation instructions to use this package in your R session.
| Source package | multiMiR_1.34.0.tar.gz |
| Windows binary (x86_64) | multiMiR_1.34.0.zip |
| macOS binary (arm64) | multiMiR_1.34.0.tgz |
| macOS binary (x86_64) | multiMiR_1.34.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/multiMiR |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/multiMiR |
| Package Downloads Report | Download Stats |
Dependencies
Depends: R (>= 3.4)
Imports: stats, XML, RCurl, purrr (>= 0.2.2), tibble (>= 2.0), methods, BiocGenerics, AnnotationDbi, dplyr
Suggests: BiocStyle, edgeR, knitr, rmarkdown, testthat (>= 1.0.2)
Reverse dependencies
Suggests Me (1): EpiMix