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Related Concept Videos

Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

17.8K
Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
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Related Experiment Video

Updated: Jul 31, 2025

Detection of Copy Number Alterations Using Single Cell Sequencing
09:45

Detection of Copy Number Alterations Using Single Cell Sequencing

Published on: February 17, 2017

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A statistical learning method for simultaneous copy number estimation and subclone clustering with single cell

Fei Qin, Guoshuai Cai, Feifei Xiao

    Biorxiv : the Preprint Server for Biology
    |May 3, 2023
    PubMed
    Summary
    This summary is machine-generated.

    Single cell sequencing (SCS) allows for intra-tumor heterogeneity assessment. Our fused lasso copy number aberration (FLCNA) method accurately identifies subclones and genomic variations in single-cell DNA sequencing data.

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    Related Experiment Videos

    Last Updated: Jul 31, 2025

    Detection of Copy Number Alterations Using Single Cell Sequencing
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    Characterizing Mutational Load and Clonal Composition of Human Blood
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    Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
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    Area of Science:

    • Genomics
    • Computational Biology
    • Cancer Research

    Background:

    • Single cell sequencing (SCS) is crucial for analyzing intra-tumor heterogeneity.
    • Copy number aberrations (CNAs) are commonly used to identify subclones in SCS data.
    • Existing CNA detection methods can produce inaccurate results, impacting subclone identification.

    Conclusions:

    • FLCNA is a practical and powerful tool for CNA detection and subclone identification in scDNA-seq data.
    • The method offers improved accuracy for analyzing complex single-cell genomic profiles.
    • FLCNA can uncover significant genomic alterations in cancer evolution and treatment response.