multiMiR
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).
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("multiMiR") Details
| Maintainer | Spencer Mahaffey <Spencer.Mahaffey@cuanschutz.edu> |
| Author | Yuanbin Ru [aut], Matt Mulvahill [aut], Spencer Mahaffey [cre, aut], Katerina Kechris [aut, cph, ths] |
| License | MIT + file LICENSE |
| URL | https://github.com/KechrisLab/multiMiR |
| Bug Reports | https://github.com/KechrisLab/multiMiR/issues |
| Downloads rank | 1162 |
| Source branch | RELEASE_3_23 |
| biocViews | Homo_sapiens_Data, Mus_musculus_Data, OrganismData, Rattus_norvegicus_Data, Software, miRNAData |
Documentation
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 |
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