Linked Life Data

18048163

Source:http://linkedlifedata.com/resource/pubmed/id/18048163

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2007-11-30
pubmed:abstractText
A new method called Complete Composition Vector (CCV), which is a collection of Composition Vectors (CV), is described to infer evolutionary relationships between species using their complete genomic sequences. Such a method bypasses the complexity of performing multiple sequence alignments and avoids the ambiguity of choosing individual genes for species tree construction. It is expected to effectively retain the rich evolutionary information contained in the whole genomic sequence. The method was applied to infer the evolutionary footprints for several datasets that have been previously studied. The final phylogenies were built by an improved clustered Neighbour-Joining method. The generated phylogenetic trees are highly consistent with taxonomy hierarchy and previous studies, with some biologically interesting disagreements.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
1744-5485
pubmed:author
pubmed:issnType
Print
pubmed:volume
2
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
219-48
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Phylogenetic analysis using complete signature information of whole genomes and clustered Neighbour-Joining method.
pubmed:affiliation
Bioinformatics Research Group, Department of Computing Science, University of Alberta-Edmonton, Alberta, Canada. xiaomeng@cs.ualberta.ca
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, Non-P.H.S., Research Support, Non-U.S. Gov't