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. Availability and Implementation: CONDOP is implemented in R and is freely available at CRAN. Contact: vittorio.fortino@helsink...
An important step in understanding the regulation of a prokaryotic genome is the generation of its t...
Streptomyces spp. produce a variety of valuable secondary metabolites, which are regulated in a spat...
Currently, operon prediction is based on the distance of neighboring genes on the functional relatio...
Summary: The use of high-throughput RNA sequencing to predict dynamic operon structures in prokaryot...
Abstract Background Inferring operon maps is crucial ...
Background: Inferring operon maps is crucial to understanding the regulatory networks of prokaryotic...
Background. In prokaryotic organisms, a substantial fraction of adjacent genes are organized into op...
Operon is a characteristic of prokaryotic genomes that enables the co-regulation of adjacent genes....
For most organisms, computational operon predictions are the only source of genome-wide operon infor...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
As a specific functional organization of genes in prokaryotic genomes, operon contains a set of adja...
A transcription unit (TU) is composed of one or multiple adjacent genes on the same strand that are ...
In this work, we present an approach to predicting transcription units based on Bayesian classifiers...
In selective RNA processing and stabilization (SRPS) operons, stem–loops (SLs) located at the 3′-UTR...
There are many operon prediction models, but few methods can be applied to the operon prediction of ...
An important step in understanding the regulation of a prokaryotic genome is the generation of its t...
Streptomyces spp. produce a variety of valuable secondary metabolites, which are regulated in a spat...
Currently, operon prediction is based on the distance of neighboring genes on the functional relatio...
Summary: The use of high-throughput RNA sequencing to predict dynamic operon structures in prokaryot...
Abstract Background Inferring operon maps is crucial ...
Background: Inferring operon maps is crucial to understanding the regulatory networks of prokaryotic...
Background. In prokaryotic organisms, a substantial fraction of adjacent genes are organized into op...
Operon is a characteristic of prokaryotic genomes that enables the co-regulation of adjacent genes....
For most organisms, computational operon predictions are the only source of genome-wide operon infor...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
As a specific functional organization of genes in prokaryotic genomes, operon contains a set of adja...
A transcription unit (TU) is composed of one or multiple adjacent genes on the same strand that are ...
In this work, we present an approach to predicting transcription units based on Bayesian classifiers...
In selective RNA processing and stabilization (SRPS) operons, stem–loops (SLs) located at the 3′-UTR...
There are many operon prediction models, but few methods can be applied to the operon prediction of ...
An important step in understanding the regulation of a prokaryotic genome is the generation of its t...
Streptomyces spp. produce a variety of valuable secondary metabolites, which are regulated in a spat...
Currently, operon prediction is based on the distance of neighboring genes on the functional relatio...