Discussion of "A Bayesian approach to DNA sequence segmentation"
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Altmetric Citations
Booth, Hilary; Burden, Conrad; Maindonald, John; Santoso, Lucia; Wakefield, Matthew; Wilson, Susan
Description
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...[Show more]
dc.contributor.author | Booth, Hilary | |
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dc.contributor.author | Burden, Conrad | |
dc.contributor.author | Maindonald, John | |
dc.contributor.author | Santoso, Lucia | |
dc.contributor.author | Wakefield, Matthew | |
dc.contributor.author | Wilson, Susan | |
dc.date.accessioned | 2015-12-13T22:45:33Z | |
dc.identifier.issn | 0006-341X | |
dc.identifier.uri | http://hdl.handle.net/1885/79845 | |
dc.description.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. | |
dc.publisher | International Biometrics Society | |
dc.source | Biometrics | |
dc.subject | Keywords: genomic DNA; Bayesian analysis; DNA; genome; bacteriophage lambda; Bayes theorem; bioinformatics; codon; DNA sequence; genetic transcription; genome; nonhuman; operon; probability; review; statistical model; Algorithms; Bacteriophage lambda; Bayes Theorem (Hidden) Markov model; Bacteriophage lambda; Bioinformatics; Gene finding; Sequence analysis; Sequence composition | |
dc.title | Discussion of "A Bayesian approach to DNA sequence segmentation" | |
dc.type | Journal article | |
local.description.notes | Imported from ARIES | |
local.description.refereed | Yes | |
local.identifier.citationvolume | 61 | |
dc.date.issued | 2005 | |
local.identifier.absfor | 010202 - Biological Mathematics | |
local.identifier.ariespublication | MigratedxPub8217 | |
local.type.status | Published Version | |
local.contributor.affiliation | Booth, Hilary, College of Physical and Mathematical Sciences, ANU | |
local.contributor.affiliation | Burden, Conrad, College of Physical and Mathematical Sciences, ANU | |
local.contributor.affiliation | Maindonald, John, College of Physical and Mathematical Sciences, ANU | |
local.contributor.affiliation | Santoso, Lucia, College of Physical and Mathematical Sciences, ANU | |
local.contributor.affiliation | Wakefield, Matthew, College of Medicine, Biology and Environment, ANU | |
local.contributor.affiliation | Wilson, Susan, College of Physical and Mathematical Sciences, ANU | |
local.description.embargo | 2037-12-31 | |
local.bibliographicCitation.issue | 2 | |
local.bibliographicCitation.startpage | 635 | |
local.bibliographicCitation.lastpage | 639 | |
local.identifier.doi | 10.1111/j.0006-341X.2005.040701_1.x | |
dc.date.updated | 2015-12-11T10:23:47Z | |
local.identifier.scopusID | 2-s2.0-20744441080 | |
Collections | ANU Research Publications |
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