MetaR takes advantage of Language Workbench Technology to facilitate data analysis with the R language. The tool is tailored for biologists with no programming experience, as well as expert bioinformaticians and statisticians. MetaR is not a replacement for R, it is a tool built on top of R.
MetaR performs statistical analyses over RNA-Seq data.
A typical MetaR analysis starts from a read count matrix, where each column is a sample and each row is a gene.
Major features of MetaR include:
MetaR is available on GitHub.
MetaR is currently in active development: please use the GitHub issue tracker to file enhancement requests and bug fixing.
See MetaR releases on GitHub.
MetaR is open-source and released under the Apache 2.0 license.
If you use MetaR in a paper, please cite:
Fabien Campagne, William ER Digan, Manuele Simi MetaR: simple, high-level languages for data analysis with the R ecosystem bioRxiv 2015 doi: http://dx.doi.org/10.1101/030254
MetaR is offered by the Informatics Core at the Clinical and Translational Science Center (CTSC) at Weill Cornell Medicine (WCM).