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Related Concept Videos

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...
Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes02:16

Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes

The present-day mitochondrial and chloroplast genomes have retained some of the characteristics of their ancestral prokaryotes and also have acquired new attributes during their evolution within eukaryotic cells. Like prokaryotic genomes, mitochondrial and chloroplast genomes neither bind with histone-like proteins nor show complex packaging into chromosome-like structures, as observed in eukaryotes. Unlike mitotic cell divisions observed in eukaryotic cells, mitochondria and chloroplasts...
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...
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.

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Related Experiment Video

Updated: Jun 3, 2026

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.
22:27

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Published on: May 6, 2010

Cactus graphs for genome comparisons.

Benedict Paten1, Mark Diekhans, Dent Earl

  • 1Center for Biomolecular Science and Engineering, University of California, Santa Cruz, California, USA. benedict@soe.ucsc.edu

Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|March 10, 2011
PubMed
Summary
This summary is machine-generated.

Cactus graphs offer a novel data structure and visualization for comparing related genomes. This method effectively represents genomic rearrangements and visualizes common substructures in hierarchical alignments and circular plots.

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Area of Science:

  • Comparative genomics
  • Bioinformatics
  • Computational biology

Background:

  • Comparing related genomes is crucial for understanding evolutionary relationships and genetic variations.
  • Existing methods like breakpoint graphs have limitations in representing complex genomic structures such as duplications.

Purpose of the Study:

  • To introduce a new data structure, analysis, and visualization scheme called a cactus graph.
  • To enable effective comparison of sets of related genomes, including duplications and rearrangements.

Main Methods:

  • Development of the cactus graph data structure.
  • Implementation of analysis and visualization techniques for cactus graphs.
  • Representation of genomic duplications and rearrangements.

Main Results:

  • Cactus graphs naturally decompose common genomic substructures into a hierarchy of chains.
  • These hierarchies can be visualized as 2D multiple alignments.
  • Nets derived from cactus graphs can be visualized in circular genome plots.

Conclusions:

  • Cactus graphs provide a powerful and versatile tool for comparative genomics.
  • This approach enhances the visualization and analysis of complex genomic relationships.
  • The method facilitates a deeper understanding of genome evolution and structural variations.