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Predicting CIN rates from single-cell whole genome sequencing data using an <i>in silico</i> model

2023-02-15

Abstract excerpt

Chromosomal instability (CIN) drives the formation of karyotype aberrations in cancer cells and is a major contributor to intra-tumour heterogeneity, metastasis, and therapy resistance. Understanding how CIN contributes to tumour karyotype evolution requires quantification of CIN rates in primary tumours. Single-cell sequencing-based technologies enable the detection of karyotype heterogeneity, however deducing th...

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Literature Corpus work
68542050-9cb1-5fba-a5cb-9dc0d1707a71
DOI
10.1101/2023.02.14.528596
Open publication

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Predicting CIN rates from single-cell whole genome sequencing data using an <i>in silico</i> modelDOI 10.1101/2023.02.14.528596
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