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- Title
Discussion of “A Bayesian Approach to DNA Sequence Segmentation”.
- Authors
Booth, Hilary S.; Burden, Conrad J.; Maindonald, John H.; Santoso, Lucia; Wakefield, Matthew J.; Wilson, Susan R.
- Abstract
This article discusses the results in (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.
- Subjects
DNA; GENOMES; MARKOV processes; GENETIC transcription; GENES
- Publication
Biometrics, 2005, Vol 61, Issue 2, p635
- ISSN
0006-341X
- Publication type
Article
- DOI
10.1111/j.0006-341X.2005.040701_1.x