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Benchmarking of alignment-free sequence comparison methods.

Andrzej Zielezinski1, Hani Z Girgis2, Guillaume Bernard3

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|July 27, 2019
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Summary
This summary is machine-generated.

Alignment-free (AF) sequence comparison methods are crucial for data-intensive research. This study introduces a benchmark resource to standardize AF tool evaluation across diverse applications, aiding the development of more accurate solutions.

Keywords:
Alignment-freeBenchmarkHorizontal gene transferSequence comparisonWeb serviceWhole-genome phylogeny

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Alignment-free (AF) sequence comparison methods are increasingly important for data-intensive applications.
  • A lack of standardized benchmarking hinders the effective assessment and comparison of numerous proposed AF procedures.
  • This limitation impedes progress in various sequence-based research fields.

Purpose of the Study:

  • To establish a community resource for standardizing the benchmarking of alignment-free (AF) approaches.
  • To provide a platform for comparing AF methods across diverse sequence-based research applications.
  • To facilitate the evaluation of existing AF tools and the development of novel, improved algorithms.

Main Methods:

  • A comprehensive characterization of 74 AF methods was performed.
  • These methods were analyzed within 24 distinct software tools.
  • The evaluation covered five key research applications: protein sequence classification, gene tree inference, regulatory element detection, genome-based phylogenetic inference, and species tree reconstruction considering horizontal gene transfer and recombination.

Main Results:

  • A new community resource (http://afproject.org) has been established to standardize AF method comparison.
  • The resource details the performance of 74 AF methods across 24 software tools for five distinct research applications.
  • An interactive web service enables researchers to explore tool performance based on their specific data types and analytical objectives.

Conclusions:

  • The developed resource provides essential standards for evaluating alignment-free (AF) sequence comparison tools.
  • Researchers can utilize the interactive web service to assess tool performance relevant to their specific research needs.
  • Method developers can leverage this platform to evaluate their algorithms against state-of-the-art tools, accelerating the creation of more accurate AF solutions.