MIMEAnTo: profiling functional RNA in mutational interference mapping experiments.
Bioinformatics
; 32(21): 3369-3370, 2016 11 01.
Article
en En
| MEDLINE
| ID: mdl-27402903
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.
Search on Google
Banco de datos:
MEDLINE
Asunto principal:
ARN
/
Mutación
Límite:
Animals
/
Humans
Idioma:
En
Año:
2016
Tipo del documento:
Article