Using Permutation Patterns for Content-Based Phylogeny

  • Md Enamul Karim
  • Laxmi Parida
  • Arun Lakhotia
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4146)


When the same set of genes appear in different orders on the chromosomes, they form a permutation pattern. Permutation patterns have been used to identify potential haplogroups in mammalian data [8]. They also have been successfully used to detect phylogenetic relationships between computer viruses [9]. In this paper we explore the use of these patterns as a content similarity measure and use this in inferring phylogenies from genome rearrangement data in polynomial time. The method uses a function of the cardinality of the set of common maximal permutation patterns as a proxy for evolutionary “proximity” between genomes. We introduce Pi-logen, a phylogeny tool based on this method. We summarize results of feasibility study for this scheme on synthetic data by (1) content verification and (2) ancestor prediction. We also successfully infer phylogenies on series of synthetic data and on chloroplast gene order of Campanulaceae data.


Synthetic Data Reference Tree Edit Operation Ancestral Genome Breakpoint Distance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Md Enamul Karim
    • 1
  • Laxmi Parida
    • 2
  • Arun Lakhotia
    • 1
  1. 1.Center for Advanced Computer StudiesUniversity of Louisiana at LafayetteUSA
  2. 2.Computational Biology Center, IBM T J Watson Research CenterYorktown HeightsUSA

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