RT Journal Article
SR Electronic
T1 Maximizing the mean nearest neighbor distance of a trait to choose among potential crosses and design a fully crossed mating experiment
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 009720
DO 10.1101/009720
A1 Kolea Zimmerman
A1 Daniel Levitis
A1 Ethan Addicott
A1 Anne Pringle
YR 2014
UL http://biorxiv.org/content/early/2014/09/27/009720.abstract
AB We present a novel algorithm for the design of crossing experiments. A set of individuals (a “crossing-set”) is chosen from a larger set of potential crossing-sets by maximizing the distribution of a trait of interest. In simulated mating experiments, identified crossing-sets provide better estimates of underlying parameter values than randomly chosen crossing-sets.