ReviewComputational and structural biotechnology journal2022
Somatic variant calling from single-cell DNA sequencing data.
Review in Computational and structural biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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.
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.
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Who cites it
16 citing papers in PubMed, 23 citations in OpenAlex.
- IMPACT OF FLUORESCENT DYES ON MUTATIONS IN NEXT GENERATION SEQUENCING LIRBARY PREPARATION.bioRxiv : the preprint server for biology · 2026Article
- Single-cell proteogenomic analysis of clonal evolution in PDX models of AML treated with IDH inhibitors.Blood neoplasia · 2026Article
- IMPACT OF FLUORESCENT DYES ON MUTATIONS IN NEXT GENERATION SEQUENCING LIBRARY GENERATION.Journal of biomolecular techniques : JBT · 2026Article
- Advances in single-cell DNA sequencing enable insights into human somatic mosaicism.Nature reviews. Genetics · 2025Review
- Brain somatic mutations in Alzheimer's disease: linking genetic mosaicism to neurodegeneration.Molecular neurodegeneration · 2025Review
- Single-cell mutational burden distributions in birth-death processes.PLoS computational biology · 2025Article
- Inferring active mutational processes in cancer using single cell sequencing and evolutionary constraints.bioRxiv : the preprint server for biology · 2025Article
- Frequency and spectrum of mutations in human sperm measured using duplex sequencing correlate with trio-based de novo mutation analyses.Scientific reports · 2024Article
- Challenges and best practices in omics benchmarking.Nature reviews. Genetics · 2024Review
- Multi-omics in exploring the pathophysiology of diabetic retinopathy.Frontiers in cell and developmental biology · 2024Review
- Chromosome instability and aneuploidy in the mammalian brain.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2023Review
- Methods and applications for single-cell and spatial multi-omics.Nature reviews. Genetics · 2023Review
- Unraveling Heterogeneity in the Aging Hematopoietic Stem Cell Compartment: An Insight From Single-cell Approaches.HemaSphere · 2023Review
- Grave-to-cradle: human embryonic lineage tracing from the postmortem body.Experimental & molecular medicine · 2023Review
- Single-cell sequencing: promises and challenges for human genetics.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2022Article
- Editorial: Somatic mutations, genome mosaicism and aging.Frontiers in aging · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Single-cell sequencing has gained popularity in recent years. Despite its numerous applications, single-cell DNA sequencing data is highly error-prone due to technical biases arising from uneven sequencing coverage, allelic dropout, and amplification error. With these artifacts, the identification of somatic genomic variants becomes a challenging task, and over the years, several methods have been developed explicitly for this type of data. Single-cell variant callers implement distinct strategies, make different use of the data, and typically result in many discordant calls when applied to real data. Here, we review current approaches for single-cell variant calling, emphasizing single nucleotide variants. We highlight their potential benefits and shortcomings to help users choose a suitable tool for their data at hand.
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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.