Probabilistic identification of bacterial essential genes via insertion density using TraDIS data with Tn5 libraries

Nlebedim, V.U., Chaudhuri, R.R. and Walters, K. orcid.org/0000-0002-5718-5734 (2021) Probabilistic identification of bacterial essential genes via insertion density using TraDIS data with Tn5 libraries. Bioinformatics. btab508. ISSN 1367-4803

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © The Author(s) 2021. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Dates:
  • Accepted: 9 July 2021
  • Published (online): 4 August 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematics and Statistics (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 15 Jul 2021 17:20
Last Modified: 18 Aug 2021 11:00
Status: Published online
Publisher: Oxford University Press (OUP)
Refereed: Yes
Identification Number: https://doi.org/10.1093/bioinformatics/btab508

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