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Related Experiment Video

Updated: May 22, 2025

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

Assessing genome conservation on pangenome graphs with PanSel.

Matthias Zytnicki¹

¹Unité de Mathématiques et Informatique Appliquées, INRAE, 31 326 Castanet-Tolosan, France.

Bioinformatics Advances

|March 17, 2025

Summary

Pangenome graphs represent species genomic diversity better than linear genomes. A new tool, PanSel, identifies conserved and divergent genomic regions within these graphs, aiding evolutionary and comparative genomics research.

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Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation

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Published on: February 10, 2023

Area of Science:

Genomics and Bioinformatics
Computational Biology

Background:

Pangenomes, represented as graphs, are increasingly used to capture species genomic diversity, offering advantages over traditional linear reference genomes by reducing bias.
The shift to graph-based pangenome data structures necessitates the development of novel computational tools for analysis.

Purpose of the Study:

To introduce PanSel, a new computational tool designed for analyzing pangenome graphs.
To enable the identification of conserved and divergent genomic regions within species.
To provide a method for assessing gene conservation across diverse genomes.

Main Methods:

PanSel computes a conservation score for each genomic segment within a pangenome graph.
The tool is implemented in C++11 with no external dependencies.
Applicable to both prokaryotic and eukaryotic organisms with a minimum sequence identity of 98%.

Main Results:

PanSel successfully calculates conservation scores for genomic segments.
The tool can identify genomic regions exhibiting significant conservation or divergence.
Demonstrates utility in analyzing complex genomic diversity captured by pangenome graphs.

Conclusions:

PanSel offers a valuable new method for exploring genomic variation and conservation within pangenomes.
The tool addresses the need for specialized software to analyze graph-based genomic data.
Facilitates comparative genomics studies by highlighting functionally important conserved or divergent regions.