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Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
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Getting insight into the pan-genome structure with PangTree.

Paulina Dziadkiewicz1,2, Norbert Dojer3

  • 1Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, Banacha 2, Warsaw, 02-097, Poland.

BMC Genomics
|April 18, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces the affinity tree, a novel data structure for efficiently exploring relationships within large pan-genome collections. Software tools are provided to build and visualize these complex genomic relationships.

Keywords:
Affinity treeMultiple genome alignmentPan-genome

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Area of Science:

  • Bioinformatics
  • Genomics
  • Computational Biology

Background:

  • The pan-genome concept unifies genomic sequences for joint analysis and reference.
  • Rapid expansion of genomic data necessitates advanced data structures and algorithms for efficient pan-genome investigation.

Purpose of the Study:

  • To develop a tool for discovering and visualizing relationships among sequences within a pan-genome.
  • To introduce a novel data structure, the affinity tree, for representing these relationships.

Main Methods:

  • Development of the affinity tree structure, where each node represents a subset of genomes with associated homogeneity and consensus sequences.
  • Ensuring that sibling nodes' genome subsets form a partition of their parent node's genomes.

Main Results:

  • The affinity tree effectively represents hierarchical relationships and homogeneity within pan-genome data.
  • Demonstrated functionality on simulated datasets and the Ebola virus pan-genome.

Conclusions:

  • The affinity tree provides a robust method for analyzing pan-genome sequence relationships.
  • Two software packages, PangTreeBuild and PangTreeVis, are released to facilitate the construction and visualization of affinity trees.