Core Hunter is a program for sampling genetic resources. Users can specify the sampling intensity and which genetic measures will be used for selection criteria. For instance, a core subset could be selected that best maximizes the average modified Rogers' distance, or one that maximizes the Shannon's diversity index. Users can also maximize multiple genetic measures simultaneously, by specifying a weight for each required measure.
Click to download the latest release of Core Hunter.
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Download the user manual here.
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Use this script to run Core Hunter from R.
Intructions are included in the user manual. |
Download source code archives or binaries of previous releases here.
Source code archives |
Binaries |
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Version 1.0 |
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Version 2.0 |
The latest source code for Core Hunter is available on GitHub.
WARNING: the latest source code is in development. There are no guarantees that the code is stable. Please download one of the releases for stable code.
For the latest information on Core Hunter please subscribe to the user group.
BMC Bioinformatics. 2012 Nov 23;13(1):312.
Core Hunter II: fast core subset selection based on multiple genetic diversity measures using Mixed Replica search.
De Beukelaer H, Smýkal P, Davenport GF, Fack V.
BMC Bioinformatics. 2009 Aug 6;10:243.
Core Hunter: an algorithm for sampling genetic resources based on multiple genetic measures.
Thachuk C, Crossa J, Franco J, Dreisigacker S, Warburton M, Davenport GF.