RiboDiff: Detecting changes of mRNA translation efficiency from ribosome footprints Journal Article


Authors: Zhong, Y.; Karaletsos, T.; Drewe, P.; Sreedharan, V. T.; Kuo, D.; Singh, K.; Wendel, H. G.; Rätsch, G.
Article Title: RiboDiff: Detecting changes of mRNA translation efficiency from ribosome footprints
Abstract: Motivation: Deep sequencing based ribosome footprint profiling can provide novel insights into the regulatory mechanisms of protein translation. However, the observed ribosome profile is fundamentally confounded by transcriptional activity. In order to decipher principles of translation regulation, tools that can reliably detect changes in translation efficiency in case-control studies are needed. Results: We present a statistical framework and an analysis tool, RiboDiff, to detect genes with changes in translation efficiency across experimental treatments. RiboDiff uses generalized linear models to estimate the over-dispersion of RNA-Seq and ribosome profiling measurements separately, and performs a statistical test for differential translation efficiency using both mRNA abundance and ribosome occupancy. © The Author 2016. Published by Oxford University Press.
Journal Title: Bioinformatics
Volume: 33
Issue: 1
ISSN: 1367-4803
Publisher: Oxford University Press  
Date Published: 2017-01-01
Start Page: 139
End Page: 141
Language: English
DOI: 10.1093/bioinformatics/btw585
PROVIDER: scopus
PMCID: PMC5198522
PUBMED: 27634950
DOI/URL:
Notes: Article -- Export Date: 3 April 2017 -- Source: Scopus
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  1. Hans Guido Wendel
    102 Wendel
  2. Gunnar Ratsch
    68 Ratsch
  3. Yi Zhong
    18 Zhong
  4. David C Kuo
    4 Kuo