ReviewGenome biology2020
Methods for copy number aberration detection from single-cell DNA-sequencing data.
Review in Genome biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.
What it found
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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.
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Who cites it
84 citing papers in PubMed.
- CNVeil resolves haplotype-specific copy number and uncovers subclonal architecture hidden from total copy number profiling in single-cell cancer genomes.bioRxiv : the preprint server for biology · 2026Article
- Dissecting cancer in a non-mammalian model: genomic insights from lemon frost geckos.BMC biology · 2026Article
- Single-cell omics data-driven decoding of tumor clonal evolution through reinforcement learning.Genome medicine · 2026Article
- Integrative modeling of read depth and B-allele frequency improves single-cell copy number calling from targeted DNA sequencing panels.bioRxiv : the preprint server for biology · 2026Article
- SVCROWS: a user-defined tool for interpreting significant structural variants in heterogeneous datasets.Nucleic acids research · 2026Article
- Integrative Modeling of Read Depth and B-Allele Frequency Improves Single-Cell Copy Number Calling from Targeted DNA Sequencing Panels.Computational and structural biotechnology journal · 2026Article
- UNC93B1 promotes pancreatic cancer progression through modulation of cGAS-STING signaling.Frontiers in immunology · 2026Article
- Clinical application of single-cell RNA sequencing in disease and therapy.Clinical and translational medicine · 2025Review
- Benchmarking scRNA-seq copy number variation callers.Nature communications · 2025Article
- Modeling and targeting general and chromosome-specific aneuploidy in cancer.Genes & development · 2025Review
- The dual role of whole-genome duplication: biological mechanisms, functional consequences, and detection advances.Acta biochimica et biophysica Sinica · 2025Review
- DelSIEVE: cell phylogeny modeling of single nucleotide variants and deletions from single-cell DNA sequencing data.Genome biology · 2025Article
- Machine learning-driven multi-omics analysis identifies a prognostic gene signature associated with programmed cell death and metabolism in hepatocellular carcinoma.Biological procedures online · 2025Article
- A comparison of integration methods for single-cell RNA sequencing data and ATAC sequencing data.Quantitative biology (Beijing, China) · 2025Review
- CNRein: an evolution-aware deep reinforcement learning algorithm for single-cell DNA copy number calling.Genome biology · 2025Article
- Single-cell copy number calling and event history reconstruction.Bioinformatics (Oxford, England) · 2025Article
- DICE: fast and accurate distance-based reconstruction of single-cell copy number phylogenies.Life science alliance · 2025Article
- Scalable co-sequencing of RNA and DNA from individual nuclei.Nature methods · 2025Article
- Spatial deconvolution from bulk DNA methylation profiles determines intratumoral epigenetic heterogeneity.Cell & bioscience · 2025Article
- Multiomics analysis reveals the involvement of NET1 in tumour immune regulation and malignant progression.Scientific reports · 2025Article
24 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Copy number aberrations (CNAs), which are pathogenic copy number variations (CNVs), play an important role in the initiation and progression of cancer. Single-cell DNA-sequencing (scDNAseq) technologies produce data that is ideal for inferring CNAs. In this review, we review eight methods that have been developed for detecting CNAs in scDNAseq data, and categorize them according to the steps of a seven-step pipeline that they employ. Furthermore, we review models and methods for evolutionary analyses of CNAs from scDNAseq data and highlight advances and future research directions for computational methods for CNA detection from scDNAseq data.
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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.