CONDOP: an R package for CONdition-Dependent Operon Predictions

Bioinformatics. 2016 Oct 15;32(20):3199-3200. doi: 10.1093/bioinformatics/btw330. Epub 2016 Jun 13.

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.

MeSH terms

  • High-Throughput Nucleotide Sequencing
  • Operon*
  • RNA
  • Sequence Analysis, RNA*
  • Software*

Substances

  • RNA