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.

Latest release

Download v2.0

Click to download the latest release of Core Hunter.

User manual

Download

Download the user manual here.

R Interface

Download

Use this script to run Core Hunter from R. Intructions are included in the user manual.

Previous releases

Download source code archives or binaries of previous releases here.

	Source code archives	Binaries
Version 1.0	N/A	Download
Version 2.0	Download	Download

Latest Core Hunter Source Code

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.

User group

For the latest information on Core Hunter please subscribe to the user group.

References

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.