| Literature DB >> 35751822 |
Rujin Wang1, Yuchao Jiang2,3,4.
Abstract
Whole-genome single-cell DNA sequencing (scDNA-seq) enables the characterization of copy number profiles at the cellular level. This circumvents the averaging effects associated with bulk-tissue sequencing and has increased resolution yet decreased ambiguity in deconvolving cancer subclones and elucidating cancer evolutionary history. ScDNA-seq data is, however, sparse, noisy, and highly variable even within a homogeneous cell population, due to the biases and artifacts that are introduced during the library preparation and sequencing procedure. Here, we describe SCOPE, a normalization and copy number estimation method for scDNA-seq data. We give an overview of the methodology and illustrate SCOPE with step-by-step demonstrations.Entities:
Keywords: Copy number variation; Data normalization; Latent factor; Segmentation; Single-cell DNA sequencing
Mesh:
Year: 2022 PMID: 35751822 DOI: 10.1007/978-1-0716-2293-3_18
Source DB: PubMed Journal: Methods Mol Biol ISSN: 1064-3745