BioinformaticsBioinformaticsPeer-reviewed journal article
baerhunter: An R package for the discovery and analysis of expressed non-coding regions in bacterial RNA-seq data
Aime Ozuna, D. Liberto, Rosanna Joyce, Kristine B. ArnvigiD, Irene NobeliiD
Abstract
SummaryStandard bioinformatics pipelines for the analysis of bacterial transcriptomic data commonly ignore non-coding but functional elements e.g. small RNAs, long antisense RNAs or untranslated regions (UTRs) of mRNA transcripts. The root of this problem is the use of incomplete genome annotation files. Here, we present baerhunter, a method implemented in R, that automates the discovery of expressed non-coding RNAs and UTRs from RNA-seq reads mapped to a reference genome. The core algorithm is part of a pipeline that facilitates downstream analysis of both coding and non-coding features. The method is simple, easy to extend and customize and, in limited tests with simulated and real data, compares favourably against the currently most popular alternative.\n\nAvailabilityThe baerhunter R package is available from: https://github.com/irilenia/baerhunter\n\nContacti.nobeli@bbk.ac.uk
- organism: bacteria (other)
- assay: bulk RNA-seq
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 10
- FWCI
- 0.41
- Field percentile
- top 44%
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