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SwiftOrtho: A fast, memory-efficient, multiple genome orthology classifier.

Xiao Hu1, Iddo Friedberg1

  • 1Department of Veterinary Microbiology and Preventive Medicine, 2118 Veterinary Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, 50011, USA.

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|October 25, 2019
PubMed
Summary
This summary is machine-generated.

SwiftOrtho is a novel graph-based tool for gene homology analysis, efficiently classifying orthologous groups across large genomic datasets. It offers high accuracy and low memory usage, making comparative genomics accessible on standard computers.

Keywords:
clusteringhomology searchorthologsorthology analysisorthology inferenceparalogs

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Gene homology classification is crucial for comparative genomics, phylogenetics, and protein function annotation.
  • Existing tools for homology classification are computationally intensive, requiring significant memory and CPU resources.
  • This limits their application on large-scale genomic datasets, often necessitating access to computational clusters.

Purpose of the Study:

  • To develop a novel graph-based orthology analysis tool, SwiftOrtho, optimized for speed and memory efficiency.
  • To enable accurate comparative genomic analyses on large datasets using low-memory computers.

Main Methods:

  • SwiftOrtho employs long k-mers for accelerated homology searching.
  • It utilizes a reduced amino acid alphabet and spaced seeds to maintain sensitivity with longer k-mers.
  • An affinity propagation algorithm is used for memory-efficient clustering of large-scale orthology relationships.

Main Results:

  • SwiftOrtho successfully completed orthology analysis for proteins from 1,760 bacterial genomes on a 4 GB RAM computer.
  • The tool demonstrated high accuracy across various standard orthology datasets.
  • It was the only tested tool capable of completing the analysis under these low-memory conditions.

Conclusions:

  • SwiftOrtho facilitates accurate comparative genomic analyses of thousands of genomes on standard, low-memory computers.
  • The tool's efficiency and accuracy make large-scale genomic comparisons more accessible.
  • SwiftOrtho is publicly available, promoting wider adoption in genomic research.