miRNAtap: miRNAtap: microRNA Targets - Aggregated Predictions

The package facilitates implementation of workflows requiring miRNA predictions, it allows to integrate ranked miRNA target predictions from multiple sources available online and aggregate them with various methods which improves quality of predictions above any of the single sources. Currently predictions are available for Homo sapiens, Mus musculus and Rattus norvegicus (the last one through homology translation).

Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("miRNAtap")
AuthorMaciej Pajak, T. Ian Simpson
Bioconductor views Classification Microarray Sequencing Software miRNA
Date of publicationNone
MaintainerMaciej Pajak <m.pajak@sms.ed.ac.uk>
LicenseGPL-2
Version1.8.0

View on Bioconductor

Files

DESCRIPTION
NAMESPACE
NEWS
R
R/dbClassesAndMethods.R R/dbDataAccess.R R/miRNAtap.R
build
build/vignette.rds
inst
inst/doc
inst/doc/miRNAtap.R
inst/doc/miRNAtap.Rnw
inst/doc/miRNAtap.pdf
man
man/MirnaDb-class.Rd man/aggregateRanks.Rd man/getPredictedTargets.Rd man/getTargetsFromSource.Rd man/miRNAtap.Rd man/translate.Rd
tests
tests/testthat
tests/testthat.R tests/testthat/test_sanity.R
vignettes
vignettes/miRNAtap.Rnw
vignettes/refs.bib

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.