Interpreting and de-noising genetically engineered barcodes in a DNA virus.

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Bibliographic Details
Title: Interpreting and de-noising genetically engineered barcodes in a DNA virus.
Authors: Blois S; Department of Molecular Biosciences, LaMontagne Center for Infectious Disease, The University of Texas at Austin, Austin, Texas, United States of America.; Department of Biomedical Sciences, University of Cagliari, Monserrato, Cagliari, Italy., Goetz BM; Center for Biomedical Research Support, The University of Texas at Austin, Austin, Texas, United States of America., Bull JJ; Department of Biological Sciences, University of Idaho, Moscow, Idaho, United States of America., Sullivan CS; Department of Molecular Biosciences, LaMontagne Center for Infectious Disease, The University of Texas at Austin, Austin, Texas, United States of America.
Source: PLoS computational biology [PLoS Comput Biol] 2022 Nov 22; Vol. 18 (11), pp. e1010131. Date of Electronic Publication: 2022 Nov 22 (Print Publication: 2022).
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
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