000			02794nab a22003977a 4500
001			G93403
003			MX-TxCIM
005			20240919020946.0
008			220512s2009 xxk|||p|op||| 00| 0 eng d
022			_a1471-2105
024	8		_ahttps://doi.org/10.1186/1471-2105-10-243
040			_aMX-TxCIM
041			_aeng
090			_aCIS-5584
100	1		_aThachuk, C. _927421
245	1	0	_aCore Hunter : _ban algorithm for sampling genetic resources based on multiple genetic measures
260			_aUnited Kingdom : _bBioMed Central, _c2009.
500			_aPeer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=1471-2105
500			_aPeer review
500			_aOpen Access
520			_aBACKGROUND: 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. RESULTS: We present Core Hunter, an advanced stochastic local search algorithm for selecting core subsets. Core Hunter is able to find core subsets having more genetic diversity and better average genetic distance than the current state-of-the-art algorithms for all genetic distance and diversity measures we evaluated. Furthermore, Core Hunter can attempt to optimize any number of genetic measures simultaneously, based on the preference of the user. Notably, Core Hunter is able to select significantly smaller core subsets, which retain all unique alleles from a reference collection, than state-of-the-art algorithms. CONCLUSION: Core Hunter is a highly effective and flexible tool for sampling genetic resources and establishing core subsets. Our implementation, documentation, and source code for Core Hunter is available at http://corehunter.org.
536			_aGenetic Resources Program|Global Wheat Program
546			_aText in English
594			_aINT2692|CCJL01
650		7	_93706 _aMathematical models _2AGROVOC
650		7	_95934 _aGene pools _2AGROVOC
650		7	_aGenetic resources _2AGROVOC _91127
700	1		_aCrossa, J. _gGenetic Resources Program _8CCJL01 _959
700	1		_aFranco, J. _8CFRN01 _gFormerly Genetic Resources Program _9494
700	1		_9851 _aDreisigacker, S. _gGlobal Wheat Program _8INT2692
700	1		_aWarburton, M.L. _94138
700	1		_aDavenport, G. _920393
773	0		_tBMC Bioinformatics _gv. 10, art. 243 _dUnited Kingdom : BioMed Central, 2009. _x1471-2105
856	4		_yOpen Access through DSpace _uhttp://hdl.handle.net/10883/1771
942			_cJA _2ddc _n0
999			_c27817 _d27817