Evidence map›Paper›PMID 42851130›Full record

ArticleNucleic acids research2026

Wavelet-based whole genome doubling aware single-cell copy number calling.

Benjamin K Wesley, Frank Wos, Soren Germer, Jade E B Carter, Silas Maniatis, Khanh Dinh, James S Roche, Timothy R Chu, Nicolas Robine, Rebecca C Fitzgerald and 3 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Benjamin K WesleyIrving Institute for Cancer Dynamics, Columbia University, Room 601 Schermerhorn Hall, 1190 Amsterdam Ave, New York, NY 10027, United States.ORCID 0009-0003-2550-9380
Frank WosNew York Genome Center, 101 Avenue of the Americas, New York, NY 10013, United States.
Soren GermerNew York Genome Center, 101 Avenue of the Americas, New York, NY 10013, United States.
Jade E B CarterNew York Genome Center, 101 Avenue of the Americas, New York, NY 10013, United States.
Silas ManiatisNew York Genome Center, 101 Avenue of the Americas, New York, NY 10013, United States.
Khanh DinhIrving Institute for Cancer Dynamics, Columbia University, Room 601 Schermerhorn Hall, 1190 Amsterdam Ave, New York, NY 10027, United States.ORCID 0000-0002-0010-4251
James S RocheNew York Genome Center, 101 Avenue of the Americas, New York, NY 10013, United States.
Timothy R ChuNew York Genome Center, 101 Avenue of the Americas, New York, NY 10013, United States.
Nicolas RobineNew York Genome Center, 101 Avenue of the Americas, New York, NY 10013, United States.ORCID 0000-0001-5698-8183
Rebecca C FitzgeraldEarly Cancer Institute, University of Cambridge, Clifford Allbutt Building, Adrian Way, Cambridge Biomedical Campus, Cambridge CB2 0AH, United Kingdom.
Lizhe ZhuangEarly Cancer Institute, University of Cambridge, Clifford Allbutt Building, Adrian Way, Cambridge Biomedical Campus, Cambridge CB2 0AH, United Kingdom.
Simon TavaréIrving Institute for Cancer Dynamics, Columbia University, Room 601 Schermerhorn Hall, 1190 Amsterdam Ave, New York, NY 10027, United States.
Karol Nowicki-OsuchGerman Cancer Research Center (DKFZ) Heidelberg, Tumorigenesis and Molecular Cancer Prevention Group, Im Neuenheimer Feld 280, Heidelberg 69120, Germany.ORCID 0000-0003-3828-8620

Funding

MacMillan Family Foundation
6 · The paper itself

Abstract

Advances in single-cell whole genome sequencing enable profiling of the copy number state of thousands of cells with minimal sequencing bias across the genome. The Direct Library Preparation+ technique is a whole genome amplification-free single-cell whole genome sequencing method that achieves high throughput by fragmenting each cell's genome and ligating sequencing adapters using a modified Tn5 transposase, and sequencing to <0.1× coverage. Despite recent advances in experimental approaches, data analysis of single-cell whole genome sequencing lags behind and the existing methods are not optimized for the analysis of frozen samples with variable DNA preservation. Furthermore, existing tools predominantly rely on read depth ratio in predefined genomic bins to call copy number, making whole genome duplication unidentifiable. To address this, we introduce Songbird, a single-cell whole genome sequencing copy number caller that is whole genome duplication sensitive, and outperforms existing tools both in breakpoint identification and true copy number detection. We demonstrate that Songbird is robust down to very low coverage, adaptable to a variety of genome versions (hg19, hg38, hs.1), and is extensible to other single-cell whole genome sequencing methods that rely on Tn5 tagmentation to fragment the genome.

Indexed as

DNA Copy Number VariationsSingle-Cell AnalysisWhole Genome SequencingAnimalsGenomeGenomicsHigh-Throughput Nucleotide Sequencing

Identifiers

PMID42851130
PMCPMC13650168

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.