MetaR Languages

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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.

Where MetaR can help

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:


Source code

MetaR is available on GitHub.

MetaR is currently in active development: please use the GitHub issue tracker to file enhancement requests and bug fixing.

Release Notes

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:

MetaR is offered by the Informatics Core at the Clinical and Translational Science Center (CTSC) at Weill Cornell Medicine (WCM).