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Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
Published on: June 24, 2021
CONDOP: an R package for CONdition-Dependent Operon Predictions
Vittorio Fortino1, Roberto Tagliaferri2, Dario Greco1
1Institute of Biotechnology, University of Helsinki, Helsinki, Finland.
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.
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