Whole genome phylogeny based on clustered signature string composition

@article{Wu2005WholeGP,
  title={Whole genome phylogeny based on clustered signature string composition},
  author={Xiaomeng Wu and Guohui Lin and X. Wan and D. Xu},
  journal={2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05)},
  year={2005},
  pages={53-54}
}
  • Xiaomeng Wu, Guohui Lin, +1 author D. Xu
  • Published 2005
  • Computer Science, Biology
  • 2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05)
  • Peptide compositions constructed out of whole sets of protein sequences can be used as species signatures for phylogenetic analysis. To account for point mutations, an amino acid substitution model is integrated into the complete composition vectors through a novel peptide clustering algorithm. Such a refined signature is expected to highlight deeper evolutionary relationships among the species and employed into the whole genome phylogenetic analysis to define a new evolutionary distance… CONTINUE READING

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    References

    Publications referenced by this paper.
    SHOWING 1-7 OF 7 REFERENCES
    Whole Proteome Prokaryote Phylogeny Without Sequence Alignment: A K-String Composition Approach
    • 343
    • PDF
    A comprehensive vertebrate phylogeny using vector representations of protein sequences from whole genomes.
    • 110
    • PDF
    Phylogeny Based on Whole Genome as inferred from Complete Information Set Analysis
    • 32
    • PDF
    Whole Genome Phylogeny via Complete Composition Vectors
    • 7
    • PDF
    Proceedings of the 2005 IEEE Computational Systems Bioinformatics Conference Workshops
      The emerging paradigm and open problems in comparative genomics.
      • 39
      • PDF