Sep 27, 2014

Maximizing the mean nearest neighbor distance of a trait to choose among potential crosses and design a fully crossed mating experiment

BioRxiv : the Preprint Server for Biology
K ZimmermanA Pringle

Abstract

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.

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Mentioned in this Paper

Neurospora crassa
Simulation
Neurospora crassa allergenic extract
Silo (Dataset)
Proximal
EAF2 gene
Research Study

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