WebPORD: a web-based pipeline of RNA degradome
by Jung-Im Won; JunBeom Lee; HeonWoo Lee; JaeMoon Shin; JeeHee Yoon; Dong-Hoon Jeong
International Journal of Data Mining and Bioinformatics (IJDMB), Vol. 22, No. 3, 2019

Abstract: The advent of high-throughput Next-Generation Sequencing (NGS) technology has brought in a new genomics era. It is widely utilised not only for genomic but also for transcriptome sequencing. NGS-based transcriptomic methods, including RNA-seq, are widely used to study gene expression regulation. Recently, post-transcriptional gene regulation has been studied by several RNA degradome sequencing methods that differ from RNA-seq and directly profile degraded RNAs. Parallel Analysis of RNA Ends (PARE) sequencing is one of these methods. It is widely used for identifying microRNA targets and nonsense-mediated mRNA decay events as well as for global analysis of RNA degradation. We have developed WebPORD, a user-friendly web-based pipeline for analysing the PARE sequencing data. This pipeline trims and applies several filters to PARE sequencing. In addition, this pipeline provides a degradome table and degradome-plots for users to further analyse RNA degradation at a genomic scale. This is the first web-based pipeline for global analysis of RNA degradation using PARE data from animals and plants, which provides mechanistic insights into post-transcriptional gene regulation.

Online publication date: Fri, 05-Jul-2019

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