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RNA structure framework: automated transcriptome-wide reconstruction of RNA secondary structures from high-throughput structure probing data.
Incarnato, Danny; Neri, Francesco; Anselmi, Francesca; Oliviero, Salvatore.
Afiliação
  • Incarnato D; Human Genetics Foundation (HuGeF), 10126 Torino, Italy and Dipartimento di Scienze della Vita e Biologia dei Sistemi, Università di Torino, 10123 Torino, Italy.
  • Neri F; Human Genetics Foundation (HuGeF), 10126 Torino, Italy and.
  • Anselmi F; Human Genetics Foundation (HuGeF), 10126 Torino, Italy and Dipartimento di Scienze della Vita e Biologia dei Sistemi, Università di Torino, 10123 Torino, Italy.
  • Oliviero S; Human Genetics Foundation (HuGeF), 10126 Torino, Italy and Dipartimento di Scienze della Vita e Biologia dei Sistemi, Università di Torino, 10123 Torino, Italy.
Bioinformatics ; 32(3): 459-61, 2016 Feb 01.
Article em En | MEDLINE | ID: mdl-26487736
ABSTRACT

SUMMARY:

The rapidly increasing number of discovered non-coding RNAs makes the understanding of their structure a key feature toward a deeper comprehension of gene expression regulation. Various enzymatic- and chemically- based approaches have been recently developed to allow whole-genome studies of RNA secondary structures. Several methods have been recently presented that allow high-throughput RNA structure probing (CIRS-seq, Structure-seq, SHAPE-seq, PARS, etc.) and unbiased structural inference of residues within RNAs in their native conformation. We here present an analysis toolkit, named RNA Structure Framework (RSF), which allows fast and fully-automated analysis of high-throughput structure probing data, from data pre-processing to whole-transcriptome RNA structure inference. AVAILABILITY AND IMPLEMENTATION RSF is written in Perl and is freely available under the GPLv3 license from http//rsf.hugef-research.org. CONTACT salvatore.oliviero@hugef-torino.org SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: RNA / Genoma Humano / Análise de Sequência de RNA / Biologia Computacional / Transcriptoma / Conformação de Ácido Nucleico Limite: Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Itália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: RNA / Genoma Humano / Análise de Sequência de RNA / Biologia Computacional / Transcriptoma / Conformação de Ácido Nucleico Limite: Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Itália