ArticleBriefings in bioinformatics2018
DNA copy number profiling using single-cell sequencing.
Article in Briefings in bioinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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.
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.
Who cites it
28 citing papers in PubMed.
- Replication stress increases de novo CNVs across the malaria parasite genome.Nucleic acids research · 2026Article
- Replication stress increases de novo CNVs across the malaria parasite genome.bioRxiv : the preprint server for biology · 2025Article
- 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
- HapCNV: A Comprehensive Framework for CNV Detection in Low-input DNA Sequencing Data.bioRxiv : the preprint server for biology · 2025Article
- Improved allele-specific single-cell copy number estimation in low-coverage DNA-sequencing.Bioinformatics (Oxford, England) · 2024Article
- CoT: a transformer-based method for inferring tumor clonal copy number substructure from scDNA-seq data.Briefings in bioinformatics · 2024Article
- Inferring single-cell copy number profiles through cross-cell segmentation of read counts.BMC genomics · 2024Article
- A zero-agnostic model for copy number evolution in cancer.PLoS computational biology · 2023Article
- Toward the functional interpretation of somatic structural variations: bulk- and single-cell approaches.Briefings in bioinformatics · 2023Review
- A zero-agnostic model for copy number evolution in cancer.bioRxiv : the preprint server for biology · 2023Article
- SCONCE2: jointly inferring single cell copy number profiles and tumor evolutionary distances.BMC bioinformatics · 2022Article
- CONET: copy number event tree model of evolutionary tumor history for single-cell data.Genome biology · 2022Article
- High-throughput single-сell sequencing in cancer research.Signal transduction and targeted therapy · 2022Review
- A Detailed Overview About the Single-Cell Analyses of Solid Tumors Focusing on Colorectal Cancer.Pathology oncology research : POR · 2022Review
- Copy Number Variation Detection by Single-Cell DNA Sequencing with SCOPE.Methods in molecular biology (Clifton, N.J.) · 2022Article
- SCYN: single cell CNV profiling method using dynamic programming.BMC genomics · 2021Article
- PhyliCS: a Python library to explore scCNA data and quantify spatial tumor heterogeneity.BMC bioinformatics · 2021Article
- Single-cell sequencing of the small and AT-skewed genome of malaria parasites.Genome medicine · 2021Article
- Computational Methods for Single-Cell Imaging and Omics Data Integration.Frontiers in molecular biosciences · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Currently, there is a lack of software for detecting copy number variations and constructing copy number profile for the whole genome from single-cell DNA sequencing data, which are often of low coverage and high technical noises. Here we introduce a new toolkit, SCNV, which features an efficient bin-free segmentation approach and provides the highest resolution possible for breakpoint detection and the subsequent copy number calling. SCNV can auto-tune parameters based on a set of normal cells from the same batch to adjust for the technical noise level of the data, facilitating its application to data gathered from different platforms and different studies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.