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Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

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Published on: December 7, 2021

HAL: a hierarchical format for storing and analyzing multiple genome alignments.

Glenn Hickey1, Benedict Paten, Dent Earl

  • 1Center for Biomolecular Science and Engineering, University of California Santa Cruz, Santa Cruz CA 95064, USA. hickey@soe.ucsc.edu

Bioinformatics (Oxford, England)
|March 19, 2013
PubMed
Summary

We introduce HAL, a novel graph-based format for storing multiple genome alignments and ancestral genomes. This hierarchical alignment format overcomes limitations of existing methods, enabling efficient querying across diverse species and clades.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Large-scale genome alignments and ancestral genome reconstructions are crucial for comparative molecular evolution studies.
  • Existing alignment formats (e.g., XMFA, MAF) are reference-genome-indexed, limiting queries across species and clades.
  • Information loss in current formats increases with species number and phylogenetic distance.

Purpose of the Study:

  • To present a new compressed, graph-based hierarchical alignment format (HAL) for storing multiple genome alignments and ancestral reconstructions.
  • To enable phylogenetic indexing and modular access to arbitrary subclades without fragmentation.

Main Methods:

  • Developed a compressed, graph-based hierarchical alignment format named HAL.
  • Implemented a comprehensive C++ API for creating and reading HAL graphs.
  • Provided a suite of tools for data import/export, mutation identification, and coordinate mapping (liftover).

Main Results:

  • HAL graphs are indexed on all constituent genomes and organized phylogenetically.
  • Facilitates modular and parallel access to subclades, preventing fragmentation due to lineage-specific rearrangements.
  • HAL supports efficient querying and analysis of complex genomic relationships.

Conclusions:

  • HAL provides a robust and scalable solution for storing and querying large-scale multiple genome alignments and ancestral genomes.
  • The phylogenetic organization of HAL enhances data accessibility and analytical flexibility.
  • HAL represents a significant advancement for comparative genomics and evolutionary studies.