Single-cell lineage tracing by integrating CRISPR-Cas9 mutations with transcriptomic data.

Zafar, Hamim; Lin, Chieh; Bar-Joseph, Ziv

Zafar, Hamim; Lin, Chieh; Bar-Joseph, Ziv.

Affiliation

Zafar H; Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, Kanpur, India.
Lin C; Department of Biological Sciences and Bioengineering, Indian Institute of Technology Kanpur, Kanpur, India.
Bar-Joseph Z; Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA.

Nat Commun ; 11(1): 3055, 2020 06 16.

Article in En | MEDLINE | ID: mdl-32546686

Subject(s)

Algorithms; CRISPR-Cas Systems; Cell Lineage/genetics; Gene Expression Profiling/statistics & numerical data; Single-Cell Analysis/methods; Animals; Brain/cytology; Caenorhabditis elegans/embryology; Caenorhabditis elegans/genetics; Cell Differentiation/genetics; Data Interpretation, Statistical; Embryo, Nonmammalian/cytology; Gene Expression Profiling/methods; Likelihood Functions; Mutation; Single-Cell Analysis/statistics & numerical data; Zebrafish/genetics

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Cell Lineage / Gene Expression Profiling / Single-Cell Analysis / CRISPR-Cas Systems Limits: Animals Language: En Journal: Nat Commun Journal subject: BIOLOGIA / CIENCIA Year: 2020 Document type: Article Affiliation country: India Country of publication: United kingdom

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