Assessing the inference of single-cell phylogenies and population dynamics from CRISPR lineage recordings.

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Bibliographic Details
Title: Assessing the inference of single-cell phylogenies and population dynamics from CRISPR lineage recordings.
Authors: Pilarski J; Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.; Swiss Institute of Bioinformatics, Lausanne, Switzerland., Stadler T; Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.; Swiss Institute of Bioinformatics, Lausanne, Switzerland., Seidel S; Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.; Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Source: PLoS computational biology [PLoS Comput Biol] 2026 Jun 08; Vol. 22 (6), pp. e1014370. Date of Electronic Publication: 2026 Jun 08 (Print Publication: 2026).
Publication Type: Journal Article; 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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ISSN:1553-7358
DOI:10.1371/journal.pcbi.1014370