Although gene and protein measurements are increasing in quantity and
comprehensiveness, they do not characterize a sample's entire phenotype in an …

Despite a large and multifaceted effort to understand the vast landscape of phenotypic data,
their current form inhibits productive data analysis. The lack of a community-wide …

The promise that came with genome sequencing was that we would soon know what genes
do, particularly genes involved in human diseases and those of importance to agriculture …

The mouse is central to the goal of establishing a comprehensive functional annotation of
the mammalian genome that will help elucidate various human disease genes and …

Identifying genetic and environmental factors that impact complex traits and common
diseases is a high biomedical priority. Here, we developed, validated, and implemented a …

Abstract The Mammalian Phenotype (MP) Ontology enables robust annotation of
mammalian phenotypes in the context of mutations, quantitative trait loci and strains that are …

Phenotypes are investigated in model organisms to understand and reveal the molecular
mechanisms underlying disease. Phenotype ontologies were developed to capture and …

We developed a method for systematically comparing gene expression patterns across
organisms using genome-wide comparative analysis of DNA microarray experiments. We …

How well do we understand the functions encoded by our genome? Certainly,
comprehensive functional informa tion about proteins, including the impact of mutations, is …

Phenotype ontologies are typically constructed to serve the needs of a particular community,
such as annotation of genotype-phenotype associations in mouse or human. Here we …