Core Hunter II: fast core subset selection based on multiple genetic diversity measures using Mixed Replica search.

ABSTRACT:

Background

Sampling core subsets from genetic resources while maintaining as much as possible the genetic diversity of the original collection is an important but computationally complex task for gene bank managers. The Core Hunter computer program was developed as a tool to generate such subsets based on multiple genetic measures, including both distance measures and allelic diversity indices. At first we investigate the effect of minimum (instead of the default mean) distance measures on the performance of Core Hunter. Secondly, we try to gain more insight into the performance of the original Core Hunter search algorithm through comparison with several other heuristics working with several realistic datasets of varying size and allelic composition. Finally, we propose a new algor

SUBMITTER: De Beukelaer H 

PROVIDER: S-EPMC3554476 | biostudies-literature | 2012 Nov

REPOSITORIES: biostudies-literature