henhaobio
Sign in

BioinformaticsBioinformaticsPeer-reviewed journal article

CLIPreg: Constructing translational regulatory networks from CLIP-, Ribo- and RNA-seq

Baptiste KerouantoniD, Sebastian SchäferiD, Lena HoiD, Sonia Pankaj ChothaniiD, Owen J. L. RackhamiD

PDFDOIPreprintCode

Abstract

MotivationThe creation and analysis of gene regulatory networks have been the focus of bioinformatic research and underpins much of what is known about gene regulation. However, as a result of a bias in the availability of data-types that are collected, the vast majority of gene regulatory network resources and tools have focused on either transcriptional regulation or protein-protein interactions. This has left other areas of regulation, for instance translational regulation, vastly underrepresented despite them having been shown to play a critical role in both health and disease. ResultsIn order to address this we have developed CLIPreg, a package that integrates RNA, Ribo and CLIP-sequencing data in order to construct translational regulatory networks coordinated by RNA-binding proteins. This is the first tool of its type to be created, allowing for detailed investigation into a previously unseen layer of regulation. Availability and implementationCLIPreg is available at https://github.com/SGDDNB/CLIPreg. Contactowen.rackham@duke-nus.edu.sg or sonia.chothani@u.duke.nus.edu

Citations
0
FWCI
0.00
Field percentile
5th percentile

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.