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Comparing Copy Number Variations and SNPs

Comparing Copy Number Variations and SNPs

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%...

Genome Copying Errors

Genome Copying Errors

DNA replication is a well-evolved process that copies millions of base pairs with high fidelity during each cell division. Occasionally a wrong base or a long stretch of wrong bases may get added to the daughter strands. If the errors are left unchecked, cells might accumulate several mutations that might endanger their survival. Therefore, the copying errors are checked and repaired at three levels.

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Related Experiment Video

Updated: Oct 13, 2025

Detection of Copy Number Alterations Using Single Cell Sequencing

Detection of Copy Number Alterations Using Single Cell Sequencing

Published on: February 17, 2017

SCYN: single cell CNV profiling method using dynamic programming.

Xikang Feng^1,2, Lingxi Chen², Yuhao Qing²

¹School of Software, Northwestern Polytechnical University, Xi'an Shaanxi, 710072, China.

|November 18, 2021

Summary

This summary is machine-generated.

SCYN, a new dynamic programming method, accurately identifies copy number variations in single-cell DNA sequencing data. This tool efficiently reveals tumor heterogeneity and is significantly faster than existing methods.

Keywords:

CNV segmentation Dynamic programming scDNA-Seq

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Detection of Copy Number Alterations Using Single Cell Sequencing

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Array Comparative Genomic Hybridization Array CGH for Detection of Genomic Copy Number Variants

Array Comparative Genomic Hybridization Array CGH for Detection of Genomic Copy Number Variants

Published on: February 21, 2015

Area of Science:

Genomics
Bioinformatics
Cancer Research

Background:

Copy number variation (CNV) is vital for understanding complex disorders and cancers.
Single-cell DNA (scDNA) sequencing advances the study of tumor heterogeneity and evolution.
Existing CNV segmentation methods struggle with certain complex genomic profiles.

Purpose of the Study:

To introduce SCYN, a novel dynamic programming-based method for CNV segmentation in scDNA sequencing.
To evaluate SCYN's accuracy and efficiency in inferring copy number profiles from single-cell data.

Main Methods:

Developed SCYN using dynamic programming for precise CNV segmentation.
Validated SCYN on in silico datasets and triple-negative breast cancer scDNA data.
Tested SCYN on 10x Genomics CNV datasets, including gastric cancer cell spike-ins.

Main Results:

SCYN accurately resolved segmentation in in silico datasets.
SCYN demonstrated precise copy number inference validated against array comparative genomic hybridization.
SCYN identified gastric cancer cells at low percentages (1% and 10%) in 10x datasets.
SCYN is approximately 150 times faster than state-of-the-art tools for large single-cell datasets.

Conclusions:

SCYN robustly and efficiently detects CNV segmentations and infers copy number profiles from scDNA sequencing data.
SCYN aids in revealing critical tumor intra-heterogeneity.
The source code for SCYN is publicly available for research use.