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Evolutionary Relationships through Genome Comparisons02:54

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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...
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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...
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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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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.
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Technical Demonstration of Whole Genome Array Comparative Genomic Hybridization
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The Comparative Genome Dashboard.

Suzanne Paley1, Ron Caspi1, Paul O'Maille2

  • 1Bioinformatics Research Group, SRI International, Menlo Park, CA, United States.

Frontiers in Microbiology
|August 15, 2024
PubMed
Summary
This summary is machine-generated.

The Comparative Genome Dashboard is a web tool for exploring gene function differences across organisms. It visually compares cellular systems, allowing detailed analysis of metabolic pathways and genetic capabilities.

Keywords:
comparative functional profilescomparative genomicsfunctional traitsinference of metabolic capabilitiesmicrobial genome

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Area of Science:

  • Comparative genomics
  • Bioinformatics
  • Systems biology

Background:

  • Understanding gene function across diverse organisms is crucial for biological research.
  • Existing tools may lack interactive, high-level graphical overviews of comparative genomics data.

Purpose of the Study:

  • To develop an interactive web-based software tool for exploring similarities and differences in gene functions between organisms.
  • To provide a graphical survey of cellular functions with drill-down capabilities for detailed analysis.

Main Methods:

  • Development of a web-based software tool, the Comparative Genome Dashboard.
  • Implementation of interactive graphical panels for high-level comparison of cellular systems (e.g., biosynthesis, metabolism, transport).
  • Integration of drill-down features to access detailed information on subsystems, compounds, GO terms, and pathways.

Main Results:

  • The dashboard presents a high-level graphical survey of cellular functions across multiple organisms.
  • Users can interactively explore subsystems, view compound production/consumption, GO term assignments, and pathway diagrams.
  • Facilitates rapid comparison of specific capabilities such as cofactor synthesis, metal ion transport, DNA repair, and response to stimuli.

Conclusions:

  • The Comparative Genome Dashboard offers an efficient and detailed method for comparative genomic analysis.
  • It enhances the exploration of gene function similarities and differences, aiding biological discovery.
  • The tool supports comprehensive comparisons at various levels of biological organization.