UMI-tools: Modelling sequencing errors in Unique Molecular Identifiers to improve quantification accuracy.

Smith, T.S., Heger, A. and Sudbery, I. orcid.org/0000-0002-5038-0190 (2017) UMI-tools: Modelling sequencing errors in Unique Molecular Identifiers to improve quantification accuracy. Genome Research. ISSN 1088-9051

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © The Authors. This article, published in Genome Research, is available under a Creative Commons License (Attribution 4.0 International license), as described at http://creativecommons.org/licenses/by/4.0/.
Dates:
  • Published (online): 18 January 2017
  • Accepted: 17 January 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > School of Biological Sciences (Sheffield) > Department of Molecular Biology and Biotechnology (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 25 Jan 2017 15:05
Last Modified: 25 Jan 2017 15:05
Published Version: https://doi.org/10.1101/gr.209601.116
Status: Published online
Publisher: Cold Spring Harbor Laboratory Press
Refereed: Yes
Identification Number: https://doi.org/10.1101/gr.209601.116
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