Evidence map›Paper›PMID 32437686›Full record

ArticleCell systems2020

SCOPE: A Normalization and Copy-Number Estimation Method for Single-Cell DNA Sequencing.

Rujin Wang, Dan-Yu Lin, Yuchao Jiang

Abstract read
In one paragraph

Article in Cell systems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

58 citing papers in PubMed.

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  8. Benchmarking Ploidy Estimation Methods for Bulk and Single-Cell Whole Genome Sequencing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Rujin WangDepartment of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, USA.
Dan-Yu LinDepartment of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, USA; Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA.
Yuchao JiangDepartment of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, USA; Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA; Department of Genetics, School of Medicine, University of North Carolina, Chapel Hill, NC 27599, USA. Electronic address: yuchaoj@email.unc.edu.

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Deborah F. Tate · 1985 to 2026
$201.5M
Statistical Methods for Cancer Clinical TrialsP01CA142538 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVIDIAN, MARIE, KOSOROK, MICHAEL R · 2010 to 2019
$21.3M
Molecular Mechanism of Mammalian DNA Excision Repair, DNA Damage Checkpoints and the Circadian ClockR35GM118102 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI AZIZ SANCAR · 2016 to 2026
$10.6M
Semiparametric Analysis of Big Censored DataR01HL149683 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LIN, DANYU · 2020 to 2023
$1.9M
Statistical Methods in Trans-Omics Chronic Disease ResearchR01HG009974 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LIN, DANYU · 2018 to 2022
$1.5M
NCI NIH HHS P01 CA142538NCI NIH HHS P30 CA016086NHGRI NIH HHS R01 HG009974NHLBI NIH HHS R01 HL149683NIGMS NIH HHS R35 GM118102
6 · The paper itself

Abstract

Whole-genome single-cell DNA sequencing (scDNA-seq) enables characterization of copy-number profiles at the cellular level. We propose SCOPE, a normalization and copy-number estimation method for the noisy scDNA-seq data. SCOPE's main features include the following: (1) a Poisson latent factor model for normalization, which borrows information across cells and regions to estimate bias, using in silico identified negative control cells; (2) an expectation-maximization algorithm embedded in the normalization step, which accounts for the aberrant copy-number changes and allows direct ploidy estimation without the need for post hoc adjustment; and (3) a cross-sample segmentation procedure to identify breakpoints that are shared across cells with the same genetic background. We evaluate SCOPE on a diverse set of scDNA-seq data in cancer genomics and show that SCOPE offers accurate copy-number estimates and successfully reconstructs subclonal structure. A record of this paper's transparent peer review process is included in the Supplemental Information.

Indexed as

AlgorithmsBase SequenceComputer SimulationDNA Copy Number VariationsGenome, HumanGenomicsHigh-Throughput Nucleotide SequencingHumansNeoplasmsPolymorphism, Single NucleotideResearch DesignSequence Analysis, DNASingle-Cell AnalysisWhole Genome Sequencingcancer genomicscopy number aberrationcopy number variationnormalizationsingle-cell DNA sequencingtumor heterogeneity

Identifiers

PMID32437686
PMCPMC7250054

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.