Accurate detection of differential RNA processing Journal Article


Authors: Drewe, P.; Stegle, O.; Hartmann, L.; Kahles, A.; Bohnert, R.; Wachter, A.; Borgwardt, K.; Ratsch, G.
Article Title: Accurate detection of differential RNA processing
Abstract: Deep transcriptome sequencing (RNA-Seq) has become a vital tool for studying the state of cells in the context of varying environments, genotypes and other factors. RNA-Seq profiling data enable identification of novel isoforms, quantification of known isoforms and detection of changes in transcriptional or RNA-processing activity. Existing approaches to detect differential isoform abundance between samples either require a complete isoform annotation or fall short in providing statistically robust and calibrated significance estimates. Here, we propose a suite of statistical tests to address these open needs: a parametric test that uses known isoform annotations to detect changes in relative isoform abundance and a non-parametric test that detects differential read coverages and can be applied when isoform annotations are not available. Both methods account for the discrete nature of read counts and the inherent biological variability. We demonstrate that these tests compare favorably to previous methods, both in terms of accuracy and statistical calibrations. We use these techniques to analyze RNA-Seq libraries from Arabidopsis thaliana and Drosophila melanogaster. The identified differential RNA processing events were consistent with RT-qPCR measurements and previous studies. The proposed toolkit is available from http://bioweb.me/rdiff and enables in-depth analyses of transcriptomes, with or without available isoform annotation. © 2013 The Author(s) 2013.
Journal Title: Nucleic Acids Research
Volume: 41
Issue: 10
ISSN: 0305-1048
Publisher: Oxford University Press  
Date Published: 2013-05-01
Start Page: 5189
End Page: 5198
Language: English
DOI: 10.1093/nar/gkt211
PROVIDER: scopus
PMCID: PMC3664801
PUBMED: 23585274
DOI/URL:
Notes: --- - "Export Date: 1 July 2013" - "CODEN: NARHA" - "Source: Scopus"
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  1. Gunnar Ratsch
    68 Ratsch
  2. Jan Philipp Jurgen Drewe
    13 Drewe
  3. Andre Kahles
    31 Kahles