|
rdf:type |
|
|
lifeskim:mentions |
|
|
pubmed:dateCreated |
2009-2-11
|
|
pubmed:abstractText |
There is much interest in developing fast and accurate supertree methods to infer the tree of life. Supertree methods combine smaller input trees with overlapping sets of taxa to make a comprehensive phylogenetic tree that contains all of the taxa in the input trees. The intrinsically hard triplet supertree problem takes a collection of input species trees and seeks a species tree (supertree) that maximizes the number of triplet subtrees that it shares with the input trees. However, the utility of this supertree problem has been limited by a lack of efficient and effective heuristics.
|
|
pubmed:commentsCorrections |
http://linkedlifedata.com/resource/pubmed/commentcorrection/19208181-12116654,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19208181-1342924,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19208181-14766971,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19208181-15205054,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19208181-16012108,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19208181-16094808,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19208181-16701277,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19208181-17392779,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19208181-18425715,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19208181-8899723,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19208181-9126565
|
|
pubmed:language |
eng
|
|
pubmed:journal |
|
|
pubmed:citationSubset |
IM
|
|
pubmed:status |
MEDLINE
|
|
pubmed:issn |
1471-2105
|
|
pubmed:author |
|
|
pubmed:issnType |
Electronic
|
|
pubmed:volume |
10 Suppl 1
|
|
pubmed:owner |
NLM
|
|
pubmed:authorsComplete |
Y
|
|
pubmed:pagination |
S8
|
|
pubmed:dateRevised |
2009-11-18
|
|
pubmed:meshHeading |
|
|
pubmed:year |
2009
|
|
pubmed:articleTitle |
Triplet supertree heuristics for the tree of life.
|
|
pubmed:affiliation |
Department of Computer Science, Iowa State University, Ames, IA, USA. htlin@cs.iastate.edu
|
|
pubmed:publicationType |
Journal Article,
Research Support, U.S. Gov't, Non-P.H.S.
|
