Literature DB >> 35751822

Copy Number Variation Detection by Single-Cell DNA Sequencing with SCOPE.

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.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

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


  25 in total

Review 1.  Copy-number variation and association studies of human disease.

Authors:  Steven A McCarroll; David M Altshuler
Journal:  Nat Genet       Date:  2007-07       Impact factor: 38.330

2.  Discovery and statistical genotyping of copy-number variation from whole-exome sequencing depth.

Authors:  Menachem Fromer; Jennifer L Moran; Kimberly Chambert; Eric Banks; Sarah E Bergen; Douglas M Ruderfer; Robert E Handsaker; Steven A McCarroll; Michael C O'Donovan; Michael J Owen; George Kirov; Patrick F Sullivan; Christina M Hultman; Pamela Sklar; Shaun M Purcell
Journal:  Am J Hum Genet       Date:  2012-10-05       Impact factor: 11.025

3.  CODEX: a normalization and copy number variation detection method for whole exome sequencing.

Authors:  Yuchao Jiang; Derek A Oldridge; Sharon J Diskin; Nancy R Zhang
Journal:  Nucleic Acids Res       Date:  2015-01-23       Impact factor: 16.971

4.  Assessing intratumor heterogeneity and tracking longitudinal and spatial clonal evolutionary history by next-generation sequencing.

Authors:  Yuchao Jiang; Yu Qiu; Andy J Minn; Nancy R Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2016-08-29       Impact factor: 11.205

5.  Integrative pipeline for profiling DNA copy number and inferring tumor phylogeny.

Authors:  Eugene Urrutia; Hao Chen; Zilu Zhou; Nancy R Zhang; Yuchao Jiang
Journal:  Bioinformatics       Date:  2018-06-15       Impact factor: 6.937

Review 6.  Sequencing depth and coverage: key considerations in genomic analyses.

Authors:  David Sims; Ian Sudbery; Nicholas E Ilott; Andreas Heger; Chris P Ponting
Journal:  Nat Rev Genet       Date:  2014-02       Impact factor: 53.242

7.  Summarizing and correcting the GC content bias in high-throughput sequencing.

Authors:  Yuval Benjamini; Terence P Speed
Journal:  Nucleic Acids Res       Date:  2012-02-09       Impact factor: 16.971

8.  Sequenza: allele-specific copy number and mutation profiles from tumor sequencing data.

Authors:  F Favero; T Joshi; A M Marquard; N J Birkbak; M Krzystanek; Q Li; Z Szallasi; A C Eklund
Journal:  Ann Oncol       Date:  2014-10-15       Impact factor: 32.976

9.  CODEX2: full-spectrum copy number variation detection by high-throughput DNA sequencing.

Authors:  Yuchao Jiang; Rujin Wang; Eugene Urrutia; Ioannis N Anastopoulos; Katherine L Nathanson; Nancy R Zhang
Journal:  Genome Biol       Date:  2018-11-26       Impact factor: 13.583

10.  SV-Bay: structural variant detection in cancer genomes using a Bayesian approach with correction for GC-content and read mappability.

Authors:  Daria Iakovishina; Isabelle Janoueix-Lerosey; Emmanuel Barillot; Mireille Regnier; Valentina Boeva
Journal:  Bioinformatics       Date:  2016-01-06       Impact factor: 6.937

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