Publication Date:
2008-01-26
Description:
The statistical methods applied to the analysis of genomic data do not account for uncertainty in the sequence alignment. Indeed, the alignment is treated as an observation, and all of the subsequent inferences depend on the alignment being correct. This may not have been too problematic for many phylogenetic studies, in which the gene is carefully chosen for, among other things, ease of alignment. However, in a comparative genomics study, the same statistical methods are applied repeatedly on thousands of genes, many of which will be difficult to align. Using genomic data from seven yeast species, we show that uncertainty in the alignment can lead to several problems, including different alignment methods resulting in different conclusions.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Wong, Karen M -- Suchard, Marc A -- Huelsenbeck, John P -- GM-069801/GM/NIGMS NIH HHS/ -- R01 GM069801/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2008 Jan 25;319(5862):473-6. doi: 10.1126/science.1151532.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Section of Ecology, Behavior and Evolution, University of California, San Diego, La Jolla, CA 92093, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18218900" target="_blank"〉PubMed〈/a〉
Keywords:
Algorithms
;
Amino Acid Sequence
;
Base Sequence
;
Computational Biology
;
Evolution, Molecular
;
*Genome, Fungal
;
*Genomics
;
Models, Statistical
;
Monte Carlo Method
;
Open Reading Frames
;
Phylogeny
;
Saccharomyces/*genetics
;
Selection, Genetic
;
Sequence Alignment/*methods
;
Software
;
Uncertainty
Print ISSN:
0036-8075
Electronic ISSN:
1095-9203
Topics:
Biology
,
Chemistry and Pharmacology
,
Computer Science
,
Medicine
,
Natural Sciences in General
,
Physics
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