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
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
- assay: Ribo-seq
- assay: scRNA-seq
- assay: ChIP-seq
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 0
- FWCI
- 0.00
- Field percentile
- 5th percentile
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