Article Information
History
- January 19, 2021.
Copyright
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Author Information
- Avi Srivastava1,
- Mohsen Zakeri2,
- Hirak Sarkar3,
- Charlotte Soneson4,5,
- Carl Kingsford6,✉ and
- Rob Patro2,✉
- 1New York Genome Center and NYU Center for Genomics and Systems Biology, New York City, NY, USA
- 2Department of Computer Science and Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, USA
- 3Harvard Medical School, Boston, Massachusetts, USA
- 4Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
- 5SIB Swiss Institute of Bioinformatics, Basel, Switzerland
- 6Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA
- ↵✉Correspondence: carlk{at}cs.cmu.edu, rob{at}cs.umd.edu
Posted January 19, 2021.
Accounting for fragments of unexpected origin improves transcript quantification in RNA-seq simulations focused on increased realism
