Ontology highlight
ABSTRACT:
SUBMITTER: Zimmerman K
PROVIDER: S-EPMC4806887 | biostudies-literature | 2016 Feb
REPOSITORIES: biostudies-literature
Zimmerman K K Levitis D D Addicott E E Pringle A A
Heredity 20150930 2
We present a novel algorithm for the design of crossing experiments. The algorithm identifies a set of individuals (a 'crossing-set') from a larger pool of potential crossing-sets by maximizing the diversity of traits of interest, for example, maximizing the range of genetic and geographic distances between individuals included in the crossing-set. To calculate diversity, we use the mean nearest neighbor distance of crosses plotted in trait space. We implement our algorithm on a real dataset of ...[more]