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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...
Modern Molecular Taxonomy01:29

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Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
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Updated: Jul 1, 2026

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

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Published on: October 8, 2017

GenomeMatcher: a graphical user interface for DNA sequence comparison.

Yoshiyuki Ohtsubo1, Wakako Ikeda-Ohtsubo, Yuji Nagata

  • 1Department of Environmental Life Sciences, Graduate School of Life Sciences, Tohoku University, 2-1-1 Katahira, Sendai, Japan. yohtsubo@ige.tohoku.ac.jp

BMC Bioinformatics
|September 17, 2008
PubMed
Summary

GenomeMatcher is new, user-friendly software for comparing DNA sequences. It helps researchers analyze genomic similarities efficiently across various scales, from single nucleotides to sub-gigabases.

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Area of Science:

  • Genomics
  • Bioinformatics

Background:

  • Increasing availability of genome sequences necessitates efficient comparative analysis tools.
  • Existing software may lack user-friendliness or comprehensive analysis capabilities.

Purpose of the Study:

  • To develop user-friendly, stand-alone software for efficient comparative genome analysis.
  • To enable in-depth analysis of DNA sequence similarities at various resolutions.

Main Methods:

  • Development of GenomeMatcher software for Mac OS X.
  • Integration of BLAST and MUMmer for similarity detection.
  • Visualization of similarities using 2D and parallel views with color-coded similarity values.
  • Inclusion of alignment programs (bl2seq, MAFFT, ClustalW) for nucleotide-level analysis.

Main Results:

  • GenomeMatcher provides flexible subregion selection and re-computation for in-depth analysis.
  • Annotation data can be visualized alongside genomic views, facilitating correlation of differences.
  • Software supports comparisons from single nucleotides to sub-gigabase sequences.
  • Demonstrated graphical capabilities with examples from Burkholderia and Vivrio strains, highlighting differential chromosomal evolution.

Conclusions:

  • GenomeMatcher is efficient and easy-to-use stand-alone software for comparative sequence analysis.
  • The tool is valuable for detecting DNA sequence similarities across a wide range of sizes.