Repository: Freie Universität Berlin, Math Department

MIMEAnTo – Profiling functional RNA in Mutational Interference Mapping Experiments

Smith, M. and Smyth, R.P. and Marquet, R. and von Kleist, M. (2016) MIMEAnTo – Profiling functional RNA in Mutational Interference Mapping Experiments. Bioinformatics . ISSN 1367-4803 (Submitted)

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Official URL: http://bioinformatics.oxfordjournals.org/content/e...

Abstract

Summary: 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. Supplementary Information: Supplementary data is available at Bioinformatics online.

Item Type:Article
Subjects:Mathematical and Computer Sciences
Biological Sciences > Molecular Biology
Divisions:Department of Mathematics and Computer Science > Institute of Mathematics > BioComputing Group
ID Code:1972
Deposited By: BioComp Admin
Deposited On:28 Oct 2016 08:29
Last Modified:28 Oct 2016 08:29

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