An approximation algorithm for the Noah's Ark Problem with random feature loss

  • Glenn Hickey
  • , Mathieu Blanchette
  • , Paz Carmi
  • , Anil Maheshwari
  • , Norbert Zeh

    Research output: Contribution to journalArticlepeer-review

    2 Scopus citations

    Abstract

    The phylogenetic diversity (PD) of a set of species is a measure of their evolutionary distinctness based on a phylogenetic tree. PD is increasingly being adopted as an index of biodiversity in ecological conservation projects. The Noah's Ark Problem (NAP) is an NP-Hard optimization problem that abstracts a fundamental conservation challenge in asking to maximize the expected PD of a set of taxa given a fixed budget, where each taxon is associated with a cost of conservation and a probability of extinction. Only simplified instances of the problem, where one or more parameters are fixed as constants, have as of yet been addressed in the literature. Furthermore, it has been argued that PD is not an appropriate metric for models that allow information to be lost along paths in the tree. We therefore generalize the NAP to incorporate a proposed model of feature loss according to an exponential distribution and term this problem NAP with Loss (NAPL). In this paper, we present a pseudopolynomial time approximation scheme for NAPL.

    Original languageEnglish
    Article number5467035
    Pages (from-to)551-556
    Number of pages6
    JournalIEEE/ACM Transactions on Computational Biology and Bioinformatics
    Volume8
    Issue number2
    DOIs
    StatePublished - 10 Feb 2011

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 15 - Life on Land
      SDG 15 Life on Land

    Keywords

    • approximation algorithm.
    • Noah's ark problem
    • phylogenetic diversity

    ASJC Scopus subject areas

    • Biotechnology
    • Genetics
    • Applied Mathematics

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