Linked Life Data

17332025

Source:http://linkedlifedata.com/resource/pubmed/id/17332025

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
7
pubmed:dateCreated
2007-4-25
pubmed:abstractText
Phylogenomic approaches towards functional and evolutionary annotation of unknown sequences have been suggested to be superior to those based only on pairwise local alignments. User-friendly software tools making the advantages of phylogenetic annotation available for the ever widening range of bioinformatically uninitiated biologists involved in genome/EST annotation projects are, however, not available. We were particularly confronted with this issue in the annotation of sequences from different groups of complex algae originating from secondary endosymbioses, where the identification of the phylogenetic origin of genes is often more problematic than in taxa well represented in the databases (e.g. animals, plants or fungi).
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
1367-4811
pubmed:author
pubmed:issnType
Electronic
pubmed:day
1
pubmed:volume
23
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
793-801
pubmed:dateRevised
2009-11-4
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
PhyloGena--a user-friendly system for automated phylogenetic annotation of unknown sequences.
pubmed:affiliation
Center for Computing Technologies (TZI), P.O.B. 330440, D-28334 Bremen, Germany.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't