Source:http://linkedlifedata.com/resource/pubmed/id/19660135
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:dateCreated |
2009-8-31
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pubmed:abstractText |
Existing algorithms and methods for forming diverse core subsets currently address either allele representativeness (breeder's preference) or allele richness (taxonomist's preference). The main objective of this paper is to propose a powerful yet flexible algorithm capable of selecting core subsets that have high average genetic distance between accessions, or rich genetic diversity overall, or a combination of both.
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pubmed:commentsCorrections |
http://linkedlifedata.com/resource/pubmed/commentcorrection/19660135-11336240,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19660135-17204463,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19660135-17875212,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19660135-6026583,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19660135-8878704
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:issn |
1471-2105
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pubmed:author | |
pubmed:issnType |
Electronic
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pubmed:volume |
10
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
243
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pubmed:dateRevised |
2009-11-18
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pubmed:meshHeading | |
pubmed:year |
2009
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pubmed:articleTitle |
Core Hunter: an algorithm for sampling genetic resources based on multiple genetic measures.
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pubmed:affiliation |
Department of Computer Science, University of British Columbia, 2366 Main Mall, Vancouver, BC V6T1Z4, Canada. cthachuk@cs.ubc.ca
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
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