Docker4Circ: A Framework for the Reproducible Characterization of circRNAs from RNA-Seq Data.

ABSTRACT: Recent improvements in cost-effectiveness of high-throughput technologies has allowed RNA sequencing of total transcriptomes suitable for evaluating the expression and regulation of circRNAs, a relatively novel class of transcript isoforms with suggested roles in transcriptional and post-transcriptional gene expression regulation, as well as their possible use as biomarkers, due to their deregulation in various human diseases. A limited number of integrated workflows exists for prediction, characterization, and differential expression analysis of circRNAs, none of them complying with computational reproducibility requirements. We developed Docker4Circ for the complete analysis of circRNAs from RNA-Seq data. Docker4Circ runs a comprehensive analysis of circRNAs in human and model organisms,

SUBMITTER: Ferrero G 

PROVIDER: S-EPMC6982331 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature