Identifying tumor clones in sparse single-cell mutation data

Abstract Motivation Recent single-cell DNA sequencing technologies enable whole-genome sequencing of hundreds to thousands of individual cells. However, these technologies have ultra-low sequencing coverage (

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Bibliographische Detailangaben
Veröffentlicht in:	Bioinformatics (Oxford, England) England), 2020-07, Vol.36 (Supplement_1), p.i186-i193
Hauptverfasser:	Myers, Matthew A, Zaccaria, Simone, Raphael, Benjamin J
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Clone Cells Genomic Variation Analysis Genomics High-Throughput Nucleotide Sequencing Humans Mutation Software Whole Genome Sequencing
Online-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	Abstract Motivation Recent single-cell DNA sequencing technologies enable whole-genome sequencing of hundreds to thousands of individual cells. However, these technologies have ultra-low sequencing coverage (
ISSN:	1367-4803 1367-4811
DOI:	10.1093/bioinformatics/btaa449