Abstract
Summary: 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.
Cite
CITATION STYLE
Fortino, V., Tagliaferri, R., & Greco, D. (2016). CONDOP: An R package for CONdition-Dependent Operon Predictions. Bioinformatics, 32(20), 3199–3200. https://doi.org/10.1093/bioinformatics/btw330
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