High-throughput genome technologies have produced a wealth of data on the 
association of genes and gene products to biological functions. Investigators 
have discovered value in combining their experimental results with published 
genome-wide association studies, quantitative trait locus, microarray, 
RNA-sequencing and mutant phenotyping studies to identify gene-function 
associations across diverse experiments, species, conditions, behaviors or 
biological processes. These experimental results are typically derived from 
disparate data repositories, publication supplements or reconstructions from 
primary data stores. This leaves bench biologists with the complex and 
unscalable task of integrating data by identifying and gathering relevant 
studies, reanalyzing primary data, unifying gene identifiers and applying ad hoc 
computational analysis to the integrated set. The freely available GeneWeaver 
(http://www.GeneWeaver.org) powered by the Ontological Discovery Environment is 
a curated repository of genomic experimental results with an accompanying tool 
set for dynamic integration of these data sets, enabling users to interactively 
address questions about sets of biological functions and their relations to sets 
of genes. Thus, large numbers of independently published genomic results can be 
organized into new conceptual frameworks driven by the underlying, inferred 
biological relationships rather than a pre-existing semantic framework. An 
empirical 'ontology' is discovered from the aggregate of experimental knowledge 
around user-defined areas of biological inquiry.