Your browser doesn't support javascript.
loading
Matt: Unix tools for alternative splicing analysis.
Gohr, André; Irimia, Manuel.
Afiliación
  • Gohr A; Centre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, Barcelona, Spain.
  • Irimia M; Centre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, Barcelona, Spain.
Bioinformatics ; 35(1): 130-132, 2019 01 01.
Article en En | MEDLINE | ID: mdl-30010778
ABSTRACT

Summary:

Tracking thousands of alternative splicing (AS) events genome-wide makes their downstream analysis computationally challenging and laborious. Here, we present Matt, the first UNIX command-line toolkit with focus on high-level AS analyses. With 50 commands it facilitates computational AS analyses by (i) expediting repetitive data-preparation tasks, (ii) offering routine high-level analyses, including the extraction of exon/intron features, discriminative feature detection, motif enrichment analysis, and the generation of motif RNA-maps, (iii) improving reproducibility by documenting all analysis steps and (iv) accelerating the implementation of own analysis pipelines by offering users to exploit its modular functionality. Availability and implementation matt.crg.eu under GNU LGPLv3, together with comprehensive documentation and application examples. Matt is implemented in Perl and R, invokes pdfLATEX and depends only on Perl Core modules/the R Base package simplifying its installation. Supplementary information Supplementary data are available at Bioinformatics online.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Empalme Alternativo / Motivos de Nucleótidos Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: España

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Empalme Alternativo / Motivos de Nucleótidos Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: España
...