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A Divide-and-Conquer Approach to Large-Scale Evolutionary Analysis of Single-Cell DNA Data

2024-04-30

Abstract excerpt

Single-cell sequencing technology is producing large datasets, often containing thousands or even tens of thousands of single-cell genomic data points from an individual patient. Evolutionary analyses of these data sets help uncover and order genetic variants in the data as well as elucidate mutation trees and intra-tumor heterogeneity (ITH) in the case of cancer data sets. To enable such large-scale analyses comp...

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Literature Corpus work
1be4d15a-0fd5-5a98-a7e0-2160e5544d3c
DOI
10.1101/2024.04.28.591536
Open publication

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A Divide-and-Conquer Approach to Large-Scale Evolutionary Analysis of Single-Cell DNA DataDOI 10.1101/2024.04.28.591536
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