Incorporating exon–exon junction reads enhances differential splicing detection

We demonstrate that incorporating exon-exon junction reads significantly improves the detection of differential splicing events. The proposed DEJU workflow offers increased statistical power and computational efficiency compared to widely used existing approaches, while effectively controlling the false discovery rate.

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Publication Details

Journal
BMC Bioinformatics
Published
2025-07-24
DOI
https://doi.org/10.1186/s12859-025-06210-4
Citations
1
Primary Topic
RNA Research and Splicing
Type
article
Field-Weighted Citation Impact
0.81

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article

Incorporating exon–exon junction reads enhances differential splicing detection

Jane E. Visvader, Yunshun Chen, Michael J. G. Milevskiy, Mai T. Pham
1 citations
BMC Bioinformatics
RNA Research and Splicing
0.81
article

Incorporating exon–exon junction reads enhances differential splicing detection

Jane E. Visvader, Yunshun Chen, Michael J. G. Milevskiy, Mai T. Pham
article en
1 citations

Abstract

We demonstrate that incorporating exon-exon junction reads significantly improves the detection of differential splicing events. The proposed DEJU workflow offers increased statistical power and computational efficiency compared to widely used existing approaches, while effectively controlling the false discovery rate.

BMC BioinformaticsVol. 26(1)
The University of Melbourne (AU), Walter and Eliza Hall Institute of Medical Research (AU)
Victorian Cancer Agency, Medical Research Council, National Health and Medical Research Council
Openalex Percentile: Top 25%
RNA Research and Splicing
0.81
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