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CONDOP: an R package for CONdition-Dependent Operon Predictions.
Fortino, Vittorio; Tagliaferri, Roberto; Greco, Dario.
Afiliação
  • Fortino V; Institute of Biotechnology, University of Helsinki, Helsinki, Finland.
  • Tagliaferri R; NeuRoNe Lab, DISA-MIS, University of Salerno, Fisciano, Italy.
  • Greco D; Institute of Biotechnology, University of Helsinki, Helsinki, Finland.
Bioinformatics ; 32(20): 3199-3200, 2016 10 15.
Article em En | MEDLINE | ID: mdl-27296981
ABSTRACT
The use of high-throughput RNA sequencing to predict dynamic operon structures in prokaryotic genomes has recently gained popularity in bioinformatics. We provide the R implementation of a novel method that uses transcriptomic features extracted from RNA-seq transcriptome profiles to develop ensemble classifiers for condition-dependent operon predictions. The CONDOP package provides a deeper insight into RNA-seq data analysis and allows scientists to highlight the operon organization in the context of transcriptional regulation with a few lines of code. AVAILABILITY AND IMPLEMENTATION CONDOP is implemented in R and is freely available at CRAN. CONTACT vittorio.fortino@helsinki.fiSupplementary information Supplementary data are available at Bioinformatics online.
Assuntos
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Base de dados: MEDLINE Assunto principal: Óperon / Software / Análise de Sequência de RNA Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Finlândia
Buscar no Google
Base de dados: MEDLINE Assunto principal: Óperon / Software / Análise de Sequência de RNA Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Finlândia