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Alignment and mapping methodology influence transcript abundance estimation
View ORCID ProfileAvi Srivastava, View ORCID ProfileLaraib Malik, View ORCID ProfileHirak Sarkar, Mohsen Zakeri, View ORCID ProfileCharlotte Soneson, View ORCID ProfileMichael I. Love, View ORCID ProfileCarl Kingsford, View ORCID ProfileRob Patro
doi: https://doi.org/10.1101/657874
Avi Srivastava
1Department of Computer Science, Stony Brook University
Laraib Malik
1Department of Computer Science, Stony Brook University
Hirak Sarkar
1Department of Computer Science, Stony Brook University
Mohsen Zakeri
1Department of Computer Science, Stony Brook University
Charlotte Soneson
2Friedrich Miescher Institute for Biomedical Research and SIB Swiss Institute of Bioinformatics, Basel, Switzerland
Michael I. Love
3Department of Biostatistics, University of North Carolina at Chapel Hill
4Department of Genetics, University of North Carolina at Chapel Hill
Carl Kingsford
5Computational Biology Department, School of Computer Science, Carnegie Mellon University
Rob Patro
1Department of Computer Science, Stony Brook University
Posted June 03, 2019.
Alignment and mapping methodology influence transcript abundance estimation
Avi Srivastava, Laraib Malik, Hirak Sarkar, Mohsen Zakeri, Charlotte Soneson, Michael I. Love, Carl Kingsford, Rob Patro
bioRxiv 657874; doi: https://doi.org/10.1101/657874
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