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Differential transcript usage from RNA-seq data: isoform pre-filtering improves performance of count-based methods
Charlotte Soneson, Katarina L. Matthes, Malgorzata Nowicka, Charity W. Law, Mark D. Robinson
doi: https://doi.org/10.1101/025387
Charlotte Soneson
1Institute of Molecular Life Sciences, University of Zurich, Switzerland
2SIB Swiss Institute of Bioinformatics, Switzerland
Katarina L. Matthes
3Division of Chronic Disease Epidemiology, Epidemiology, Biostatistics and Prevention Institute (EPBI), University of Zurich, Switzerland
4Cancer Registry Zurich and Zug, University Hospital Zurich, Switzerland
Malgorzata Nowicka
1Institute of Molecular Life Sciences, University of Zurich, Switzerland
2SIB Swiss Institute of Bioinformatics, Switzerland
Charity W. Law
5Molecular Medicine Division, Walter and Eliza Hall Institute of Medical Research, Australia
Mark D. Robinson
1Institute of Molecular Life Sciences, University of Zurich, Switzerland
2SIB Swiss Institute of Bioinformatics, Switzerland
Article usage
Posted August 24, 2015.
Differential transcript usage from RNA-seq data: isoform pre-filtering improves performance of count-based methods
Charlotte Soneson, Katarina L. Matthes, Malgorzata Nowicka, Charity W. Law, Mark D. Robinson
bioRxiv 025387; doi: https://doi.org/10.1101/025387
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