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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%...
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.
Gene Duplication and Divergence02:37

Gene Duplication and Divergence

The seminal work of Ohno in 1970 popularized the idea of gene duplication and divergence. DNA sequence comparison studies reveal that a large portion of the genes in bacteria, archaebacteria, and eukaryotes was  generated by gene duplication and divergence, indicating its critical role in evolution.
The duplicated copies of the gene are called Paralogs. Paralogs with similar sequences and functions form a gene family. Across several species, a large number of gene families are characterized.
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...
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
Next-generation Sequencing03:00

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.

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Related Experiment Video

Updated: Jun 26, 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

Bayesian DNA copy number analysis.

Paola M V Rancoita1, Marcus Hutter, Francesco Bertoni

  • 1Istituto Dalle Molle di Studi sull'Intelligenza Artificiale (IDSIA), Galleria 2, 6928 Manno-Lugano, Switzerland. paola@idsia.ch

BMC Bioinformatics
|January 10, 2009
PubMed
Summary
This summary is machine-generated.

We improved DNA copy number estimation using a modified Bayesian Piecewise Constant Regression (mBPCR) method. This approach accurately detects genomic aberrations and breakpoints, even in noisy data, aiding cancer research.

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Last Updated: Jun 26, 2026

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

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Published on: February 17, 2017

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
10:36

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Published on: August 3, 2018

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

Area of Science:

  • Genomics
  • Bioinformatics
  • Statistical Genetics

Background:

  • Chromosomal aberrations alter DNA copy number, impacting diseases like cancer.
  • DNA copy number can be modeled as a piecewise constant function, with healthy cells having a copy number of two.
  • Existing Bayesian Piecewise Constant Regression (BPCR) and Bayesian Regression Curve (BRC) methods have limitations in parameter estimation.

Purpose of the Study:

  • To enhance DNA copy number estimation by improving existing Bayesian regression methods.
  • To address limitations in segment number and boundary estimation within BPCR and BRC.
  • To develop a more robust method for analyzing noisy genomic data.

Main Methods:

  • Developed a modified Bayesian Piecewise Constant Regression (mBPCR) and an improved BRC.
  • Modified segment number and boundary estimators to refine the fitting procedure.
  • Proposed an alternative variance estimator for segment levels, suitable for high-noise data.

Main Results:

  • The modified BPCR (mBPCR) generally outperformed original BPCR, BRC, and other regression methods on artificial and real data.
  • mBPCR demonstrated superior accuracy in identifying true breakpoint positions.
  • The enhanced method effectively detected small aberrations in highly noisy datasets.

Conclusions:

  • The proposed mBPCR method offers improved DNA copy number estimation compared to existing algorithms.
  • mBPCR excels at pinpointing breakpoints and identifying subtle aberrations in noisy data.
  • This method has significant potential for identifying genomic aberration targets in clinical cancer samples.