Research Article

Open Access
A junction coverage compatibility score to quantify the reliability of transcript abundance estimates and annotation catalogs
View ORCID ProfileCharlotte Soneson Correspondence email, View ORCID ProfileMichael I Love, Rob Patro, View ORCID ProfileShobbir Hussain, View ORCID ProfileDheeraj Malhotra, View ORCID ProfileMark D Robinson Correspondence email
Charlotte Soneson
1Institute of Molecular Life Sciences, University of Zurich, Zurich, Switzerland
2SIB Swiss Institute of Bioinformatics, University of Zurich, Zurich, Switzerland
Michael I Love
3Department of Biostatistics, University of North Carolina-Chapel Hill, Chapel Hill, NC, USA
4Department of Genetics, University of North Carolina-Chapel Hill, Chapel Hill, NC, USA
Rob Patro
5Department of Computer Science, Stony Brook University, NY, USA
Shobbir Hussain
6Department of Biology and Biochemistry, University of Bath, Bath, UK
Dheeraj Malhotra
7F. Hoffmann-La Roche Ltd, Pharma Research and Early Development, Neuroscience, Ophthalmology and Rare Diseases, Roche Innovation Center Basel, Basel, Switzerland
Mark D Robinson
1Institute of Molecular Life Sciences, University of Zurich, Zurich, Switzerland
2SIB Swiss Institute of Bioinformatics, University of Zurich, Zurich, Switzerland
Published 17 January 2019. DOI: 10.26508/lsa.201800175

Junction coverage compatibility score
Charlotte Soneson, Michael I Love, Rob Patro, Shobbir Hussain, Dheeraj Malhotra, Mark D Robinson
Life Science Alliance Jan 2019, 2 (1) e201800175; DOI: 10.26508/lsa.201800175
In this Issue
Volume 2, No. 1
February 2019
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