ABSTRACT
Genome-scale experiments and microarray expression studies have become increasingly common in biological and medical science. The proliferation of data makes the integration of results both a pressing challenge and an opportunity for discovery. The identification of commonalities between studies can add confidence to the interpretation of results, while the identification of differences gives insight to the distinctions between treatments and experimental conditions. In this chapter, we explore the utility of gene annotations – specifically Gene Ontology (GO) annotations – as a resource to facilitate meta-analysis across a family of experiments.
