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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 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%...
Genetic Screens02:46

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Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...
Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes02:16

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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...
Synteny and Evolution02:31

Synteny and Evolution

John H. Renwick first coined the term “synteny” in 1971, which refers to the genes present on the same chromosomes, even if they are not genetically linked. The species with common ancestry tend to show conserved syntenic regions. Therefore, the concept of synteny is nowadays used to describe the evolutionary relationship between species.
Around 80 million years ago, the human and mice lineages diverged from the common ancestor. During the course of evolution, the ancestral chromosome underwent...
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...

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Updated: May 17, 2026

Pattern-based Search of Epigenomic Data Using GeNemo
06:38

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Published on: October 8, 2017

GenoSets: visual analytic methods for comparative genomics.

Aurora A Cain1, Robert Kosara, Cynthia J Gibas

  • 1Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte, Charlotte, North Carolina, USA.

Plos One
|October 12, 2012
PubMed
Summary

GenoSets simplifies comparative genomics by integrating and visualizing large multi-genome datasets. This visual analytics system aids in identifying genomic similarities and differences for biological research.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Visual Analytics

Background:

  • Comparative genomics is crucial for biological questions, but current tools struggle with large datasets.
  • Linear genome views become cumbersome with increasing numbers of sequenced genomes.

Purpose of the Study:

  • To introduce GenoSets, a software system for visual analysis of comparative genomics data.
  • To automate data integration and provide an analysis platform for exploring multi-genome datasets.

Main Methods:

  • Utilizes visual analytics and business intelligence techniques.
  • Employs a multi-dimensional data warehouse with interactive visualizations.
  • Enables querying based on orthology, functional assignment, and taxonomic groupings.

Main Results:

  • GenoSets facilitates automated data integration and exploration of large comparative genomic datasets.
  • The system supports coordinated, interactive visualizations for detailed and high-level analysis.
  • Demonstrated utility in analyzing 12 Brucella genomes.

Conclusions:

  • GenoSets simplifies the exploration of multiple genome datasets.
  • The coordinated multiple view approach facilitates reasoning about genomic comparisons and features of interest.