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Optimal choice of k-mer in composition vector method for genome sequence comparison.

Subhram Das1, Tamal Deb2, Nilanjan Dey3

  • 1Department of Computer Science and Engineering, Narula Institute of Technology, Kolkata, India.

Genomics
|November 29, 2017
PubMed
Summary

This study explores the role of k-mer composition in genome sequence comparison. Using a 3-mer string length and an information-based similarity index offers a unified and effective approach for comparing whole genomes.

Keywords:
Alignment-based techniquesAlignment-free techniquesComposition vector methodGenome sequence comparisonk-mer

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Understanding evolutionary relationships and conserved patterns in genes and proteins is crucial.
  • Sequence comparison is an emerging process for analyzing these evolutionary connections.

Purpose of the Study:

  • To critically investigate the role of k-mer in composition vector methods for genome sequence comparison.
  • To evaluate the effectiveness of different k-mer values and similarity indices.

Main Methods:

  • Utilized the composition vector method for genome sequence comparison.
  • Employed a 3-mer string length as a standard for k-mer analysis.
  • Implemented a specialized information-based similarity index as a distance measure.

Main Results:

  • The choice of k-mer value significantly impacts the satisfactory outcomes in genome sequence comparison.
  • The combination of a 3-mer string length and an information-based similarity index yields satisfactory results.
  • This approach proves effective for comparing whole genome sequences across various cases.

Conclusions:

  • The proposed method using 3-mer and an information-based similarity index provides a unified approach for genome sequence comparison.
  • This strategy enhances the reliability and consistency of comparative genomics analyses.
  • The findings support the utility of this method for evolutionary relationship studies.