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Related Concept Videos

Comparing Copy Number Variations and SNPs02:26

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%...

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Related Experiment Video

Updated: May 14, 2026

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

Detecting highly differentiated copy-number variants from pooled population sequencing.

Daniel R Schrider1, David J Begun, Matthew W Hahn

  • 1Department of Biology and School of Informatics and Computing, Indiana University, 1001 E Third St., Bloomington, IN 47405, USA. dschride@indiana.edu

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|February 21, 2013
PubMed
Summary
This summary is machine-generated.

We developed a new method to detect copy-number variants (CNVs) using pooled sequencing data. This approach identifies CNVs with significant allele frequency differences, aiding in the study of local adaptation in populations.

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Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
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Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

Related Experiment Videos

Last Updated: May 14, 2026

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

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
14:06

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

Area of Science:

  • Population genetics
  • Genomics
  • Evolutionary biology

Background:

  • Copy-number variants (CNVs) are a significant source of genetic variation with functional and evolutionary implications.
  • Detecting CNVs, especially those with varying allele frequencies across populations, is crucial for understanding adaptation.
  • Pooled sequencing offers a powerful approach to survey genetic variation in populations.

Purpose of the Study:

  • To present a novel method for detecting copy-number variants (CNVs) in pooled population samples.
  • To leverage paired-end sequencing and read-depth data for CNV identification.
  • To identify CNVs associated with local adaptation using pooled sequencing data.

Main Methods:

  • Developed a method combining paired-end sequences and read-depth to detect CNVs with large allele frequency differences between population samples.
  • Employed a hidden Markov model to identify larger regions with differing read-depth between samples.
  • Applied the method to pooled sequence data from two Drosophila melanogaster populations along a latitudinal cline.

Main Results:

  • Successfully identified copy-number variants (CNVs) exhibiting substantial differences in allele frequency between the studied populations.
  • Demonstrated the utility of the developed method in detecting CNVs potentially involved in local adaptation.
  • Showcased the effectiveness of integrating paired-end and read-depth information for CNV discovery.

Conclusions:

  • The presented method is effective for detecting copy-number variants (CNVs) in pooled population samples.
  • This approach facilitates the identification of CNVs contributing to local adaptation.
  • The findings highlight the importance of CNVs in evolutionary processes and population differentiation.