TY - JOUR T1 - RNAModR: Functional analysis of mRNA modifications in R JF - bioRxiv DO - 10.1101/080051 SP - 080051 AU - Maurits Evers AU - Andrew Shafik AU - Ulrike Schumann AU - Thomas Preiss Y1 - 2016/01/01 UR - http://biorxiv.org/content/early/2016/10/10/080051.abstract N2 - Motivation Research in the emerging field of epitranscriptomics is increasingly generating comprehensive maps of chemical modifications in messenger RNAs (mRNAs). A computational framework allowing a reproducible and standardised analysis of these mRNA modification data is missing, but will be crucial for reliable functional meta-gene analyses and cross-study comparisons.Results We have developed RNAModR, an open-source and R-based set of methods, to analyse and visualise the transcriptome-wide distribution of mRNA modifications. RNAModR allows the statistical evaluation of the mRNA modification site distribution relative to null sites on a meta-gene level, providing insight into the functional role of these mRNA modifications on e.g. mRNA structure and stability.Availability and implementation RNAModR is available under the GNU General Public License (GPL) as an R-package from https://github.com/mevers/RNAModR.Contact maurits.evers{at}anu.edu.au ER -