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bioRxiv · 10.1101/080051

RNAModR: Functional analysis of mRNA modifications in R

Maurits Evers·Andrew Shafik·Ulrike Schumann·Thomas Preiss
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Abstract

MotivationResearch 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.\n\nResultsWe 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.\n\nAvailability and implementationRNAModR is available under the GNU General Public License (GPL) as an R-package from https://github.com/mevers/RNAModR.\n\nContactmaurits.evers@anu.edu.au

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Maurits Evers, Andrew Shafik, Ulrike Schumann, Thomas Preiss. 2016-10-10. RNAModR: Functional analysis of mRNA modifications in R. https://doi.org/10.1101/080051

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