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Bioinformatics. 2016 Nov 1;32(21):3369-3370. Epub 2016 Jul 10.

MIMEAnTo: profiling functional RNA in mutational interference mapping experiments.

Author information

1
Systems Pharmacology & Disease Control, Department of Mathematics and Computer Science, Freie Universität Berlin, Berlin, Germany.
2
Architecture et Réactivité de l'ARN, Institut de Biologie Moléculaire et Cellulaire du Centre National de la Recherche Scientifique, Université de Strasbourg, Strasbourg, France.

Abstract

The mutational interference mapping experiment (MIME) is a powerful method that, coupled to a bioinformatics analysis pipeline, allows the identification of domains and structures in RNA that are important for its function. In MIME, target RNAs are randomly mutated, selected by function, physically separated and sequenced using next-generation sequencing (NGS). Quantitative effects of each mutation at each position in the RNA can be recovered with statistical certainty using the herein developed user-friendly, cross-platform software MIMEAnTo (MIME Analysis Tool).

AVAILABILITY AND IMPLEMENTATION:

MIMEAnTo is implemented in C ++ using the boost library as well as Qt for the graphical user interface and is distributed under GPL (http://www.gnu.org/licences/gpl). The libraries are statically linked in a stand alone executable and are not required on the system. The plots are generated with gnuplot. Gnuplot-iostream (https://github.com/dstahlke/gnuplot-iostream) serves as gnuplot interface. Standalone executables including examples and source code can be downloaded from https://github.com/maureensmith/MIMEAnTo CONTACTS: msmith@zedat.fu-berlin.de or vkleist@zedat.fu-berlin.deSupplementary information: Supplementary data are available at Bioinformatics online.

PMID:
27402903
DOI:
10.1093/bioinformatics/btw479
[Indexed for MEDLINE]

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