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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%...
Karyotyping01:17

Karyotyping

Describing the number and physical features of chromosomes can reveal abnormalities that underlie genetic diseases. This description is facilitated by special staining techniques that produce a particular banding pattern on each chromosome. State-of-the-art techniques make this approach even more powerful, enabling the detection of individual genes that cause disease.A Simple Chromosome Staining Technique Provides Valuable Scientific InsightSome genetic diseases can be detected by looking at...
Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
Polytene Chromosomes02:04

Polytene Chromosomes

Polytene chromosomes are giant interphase chromosomes with several DNA strands placed side by side. They were discovered in the year 1881 by Balbiani in salivary glands, intestine, muscles, malpighian tubules, and hypoderm of larvae Chironomus plumosus. Hence, these are also called "Salivary gland chromosomes." These are found in insects of the order Diptera and Collembola; in certain organs of mammals; and synergids, antipodes of flowering plants. Polytene chromosomes are also regularly...
Genome Copying Errors02:46

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: Jun 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

A new approach for copy number estimation in polyploids.

Andrew W George1, Karen Aitken

  • 1Mathematical and Information Science, CSIRO, 306 Carmody Road, Brisbane, St Lucia, QLD 4067, Australia. geo047@csiro.au

The Journal of Heredity
|March 23, 2010
PubMed
Summary

A new Bayesian method accurately estimates dominant marker copy number in polyploids, outperforming traditional hypothesis testing by accounting for chromosome pairing. This approach is available in the free C program, bdose.

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Last Updated: Jun 14, 2026

Detection of Copy Number Alterations Using Single Cell Sequencing
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Area of Science:

  • Genetics
  • Bioinformatics
  • Computational Biology

Background:

  • Estimating marker copy number (or marker dosage) in polyploids is crucial for genetic analysis.
  • Current hypothesis testing methods for dominant marker copy number estimation have limitations, including issues with multiple testing and uniform chromosome pairing assumptions.

Purpose of the Study:

  • To develop and present a novel Bayesian approach for estimating the copy number of a dominant marker in polyploids.
  • To address the limitations of existing hypothesis testing procedures by incorporating preferential chromosome pairing.

Main Methods:

  • A new Bayesian methodology was developed using a probability model that explicitly accounts for preferentially paired chromosomes.
  • The approach was validated using simulated data and real sugarcane data.

Main Results:

  • The Bayesian approach demonstrated superiority over the traditional hypothesis testing procedure.
  • The method provides a more realistic estimation of marker copy number by considering non-uniform chromosome pairing.

Conclusions:

  • The proposed Bayesian methodology offers a more accurate and robust way to estimate dominant marker copy number in polyploids.
  • The implementation of this Bayesian approach is available as a freely accessible C program named bdose.