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bioRxiv · 10.1101/2020.04.27.046219

HRIBO - High-throughput analysis of bacterial ribosome profiling data

Gelhausen, R.·Heyl, F.·Svensson, S. L.·Froschauer, K.·Hadjeras, L.·Sharma, C. M.·Eggenhofer, F.·Backofen, R.
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Abstract

MotivationRibosome profiling (Ribo-seq) is a powerful approach based on ribosome-protected RNA fragments to explore the translatome of a cell, and is especially useful for the detection of small proteins (<=70 amino acids) that are recalcitrant to biochemical and in silico approaches. While pipelines are available to analyze Ribo-seq data, none are designed explicitly for the analysis of Ribo-seq data from prokaryotes, nor are they focused on the discovery of unannotated open reading frames (ORFs) in bacteria. ResultsWe present HRIBO (High-throughput annotation by Ribo-seq), a workflow to enable reproducible and high-throughput analysis of bacterial Ribo-seq data. The workflow performs all required pre-processing and quality control steps. Importantly, HRIBO outputs annotation-independent ORF predictions based on two complementary bacteria-focused tools, and integrates them with additional features. This facilitates the rapid discovery of novel ORFs and their prioritization for functional characterization. AvailabilityHRIBO is a free and open source project available under the GPL-3 license at: https://github.com/RickGelhausen/HRIBO

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Gelhausen, R., Heyl, F., Svensson, S. L., Froschauer, K., Hadjeras, L., Sharma, C. M., Eggenhofer, F., Backofen, R.. 2020-04-29. HRIBO - High-throughput analysis of bacterial ribosome profiling data. https://doi.org/10.1101/2020.04.27.046219

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