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: [email protected] information: Supplementary data are available at Bioinformatics online.
| Original language | English |
|---|---|
| Pages (from-to) | 3199-3200 |
| Number of pages | 2 |
| Journal | Bioinformatics |
| Volume | 32 |
| Issue number | 20 |
| DOIs | |
| Publication status | Published - 15 Oct 2016 |
| Externally published | Yes |
| Publication type | A1 Journal article-refereed |
Keywords
- High-Throughput Nucleotide Sequencing
- Operon
- RNA
- Sequence Analysis, RNA
- Software
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