Artikel ; Online: Copy Number Variation Detection by Single-Cell DNA Sequencing with SCOPE.
Methods in molecular biology (Clifton, N.J.)
2022 Band 2493, Seite(n) 279–288
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 ... ...
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. |
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Mesh-Begriff(e) | Algorithms ; DNA Copy Number Variations ; High-Throughput Nucleotide Sequencing/methods ; Humans ; Neoplasms/genetics ; Sequence Analysis, DNA/methods ; Whole Genome Sequencing |
Sprache | Englisch |
Erscheinungsdatum | 2022-06-25 |
Erscheinungsland | United States |
Dokumenttyp | Journal Article |
ISSN | 1940-6029 |
ISSN (online) | 1940-6029 |
DOI | 10.1007/978-1-0716-2293-3_18 |
Datenquelle | MEDical Literature Analysis and Retrieval System OnLINE |
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