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The multicomparative 2-n-way genome suite.

Gennady Churakov1, Fengjun Zhang1, Norbert Grundmann2

  • 1Institute of Experimental Pathology, ZMBE, University of Münster, 48149 Münster, Germany.

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The 2-n-way software suite offers a novel framework for comparing genomic data across species. This tool aids in identifying patterns of genetic elements, such as lost introns and retrotransposons, across diverse genomes.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Comparative Genomics

Background:

  • Analyzing vast genomic datasets requires advanced comparative tools.
  • Accessibility for a broad scientific community is crucial for genomic data analysis.

Purpose of the Study:

  • To develop an innovative software suite, "2-n-way", for analyzing and comparing inserted genomic elements across multiple species.
  • To provide a user-friendly framework for multidirectional, non-ascertainment-biased screenings of genomic data.

Main Methods:

  • The "2-n-way" suite consists of two web-based modules: 2-way for pairwise genome alignments and n-way for projecting coordinates and analyzing presence/absence patterns.
  • Whole-genome alignments identify matching sequences (blocks) and missing sequences (gaps).
  • The n-way module integrates data from multiple 2-way alignments to compare targeted elements across user-defined coordinates in reference species.

Main Results:

  • The software suite was successfully applied to identify approximately 100 lost introns in vertebrates.
  • Thousands of bat and whale retrotransposons, novel human exons, and human polymorphic retrotransposons were analyzed.
  • Demonstrated versatility in uncovering various genomic elements across different species and phylogroups.

Conclusions:

  • The "2-n-way" software suite provides an effective and versatile framework for comparative genomics.
  • It enables comprehensive analysis of presence/absence patterns for user-relevant elements in orthologous sequences.
  • Facilitates discovery of novel genomic features and phylogenetic markers across diverse taxa.