Related Experiment Video For Copy number aberrations
Updated: Dec 11, 2025

Detection of Copy Number Alterations Using Single Cell Sequencing
Published on: February 17, 2017
Methods for copy number aberration detection from single-cell DNA-sequencing data
Xian F Mallory1,2, Mohammadamin Edrisi1, Nicholas Navin3
1Department of Computer Science, Rice University, Houston, TX, USA.
Abstract:
Copy number aberrations (CNAs), which are pathogenic copy number variations (CNVs), play an important role in the initiation and progression of cancer. Single-cell DNA-sequencing (scDNAseq) technologies produce data that is ideal for inferring CNAs. In this review, we review eight methods that have been developed for detecting CNAs in scDNAseq data, and categorize them according to the steps of a seven-step pipeline that they employ. Furthermore, we review models and methods for evolutionary analyses of CNAs from scDNAseq data and highlight advances and future research directions for computational methods for CNA detection from scDNAseq data.
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