Discussion of "A Bayesian approach to DNA sequence segmentation"

Hilary S. Booth, Conrad J. Burden, John H. Maindonald, Lucia Santoso, Matthew J. Wakefleld, Susan R. Wilson

    Research output: Contribution to journalReview articlepeer-review

    Abstract

    This article discusses the results in Boys and Henderson (2004, Biometrics 60, 573 581) in which the authors propose a new approach to the classification of genomic DNA into a number of hidden Markov states with a variable order of dependency, potentially allowing for the high-throughput detection of structure within genomic DNA. This article is likely to be an important point of departure for further modeling of this type. We question whether the genome of the bacteriophage lambda is the most appropriate example with which to demonstrate the method's effectiveness, whether it can be expected that the method will carry over to genomes where there is only one direction of transcription and no operon structure, and suggest, a graphical display that seems to offer insight into the results. It would be interesting to see an analysis that uses the codon alphabet.

    Original languageEnglish
    Pages (from-to)635-637
    Number of pages3
    JournalBiometrics
    Volume61
    Issue number2
    DOIs
    Publication statusPublished - Jun 2005

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