Confirmatory Results
Accounting for fragments of unexpected origin improves transcript quantification in RNA-seq simulations focused on increased realism
View ORCID ProfileAvi Srivastava, View ORCID ProfileMohsen Zakeri, View ORCID ProfileHirak Sarkar, View ORCID ProfileCharlotte Soneson, View ORCID ProfileCarl Kingsford, View ORCID ProfileRob Patro
doi: https://doi.org/10.1101/2021.01.17.426996
Avi Srivastava
1New York Genome Center and NYU Center for Genomics and Systems Biology, New York City, NY, USA
Mohsen Zakeri
2Department of Computer Science and Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, USA
Hirak Sarkar
3Harvard Medical School, Boston, Massachusetts, USA
Charlotte Soneson
4Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
5SIB Swiss Institute of Bioinformatics, Basel, Switzerland
Carl Kingsford
6Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA
Rob Patro
2Department of Computer Science and Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, USA
Article usage
Posted January 19, 2021.
Accounting for fragments of unexpected origin improves transcript quantification in RNA-seq simulations focused on increased realism
Avi Srivastava, Mohsen Zakeri, Hirak Sarkar, Charlotte Soneson, Carl Kingsford, Rob Patro
bioRxiv 2021.01.17.426996; doi: https://doi.org/10.1101/2021.01.17.426996
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