HRIBO: high-throughput analysis of bacterial ribosome profiling data

Abstract: Motivation
Ribosome profiling (Ribo-seq) is a powerful approach based on deep sequencing of cDNA libraries generated from ribosome-protected RNA fragments to explore the translatome of a cell, and is especially useful for the detection of small proteins (50–100 amino acids) that are recalcitrant to many standard biochemical and in silico approaches. While pipelines are available to analyze Ribo-seq data, none are designed explicitly for the automatic processing and analysis of data from bacteria, nor are they focused on the discovery of unannotated open reading frames (ORFs).

Results
We 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 feature information and expression values. This facilitates the rapid and high-confidence discovery of novel ORFs and their prioritization for functional characterization

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch
Anmerkungen
Bioinformatics. - 37, 14 (2021) , 2061-2063, ISSN: 1367-4811

Ereignis
Veröffentlichung
(wo)
Freiburg
(wer)
Universität
(wann)
2024
Urheber
Gelhausen, Rick
Svensson, Sarah L.
Froschauer, Kathrin
Heyl, Florian
Hadjeras, Lydia
Sharma, Cynthia M.
Eggenhofer, Florian
Backofen, Rolf

DOI
10.1093/bioinformatics/btaa959
URN
urn:nbn:de:bsz:25-freidok-2598733
Rechteinformation
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
15.08.2025, 07:32 MESZ

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Beteiligte

  • Gelhausen, Rick
  • Svensson, Sarah L.
  • Froschauer, Kathrin
  • Heyl, Florian
  • Hadjeras, Lydia
  • Sharma, Cynthia M.
  • Eggenhofer, Florian
  • Backofen, Rolf
  • Universität

Entstanden

  • 2024

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