Using semantic web technology to accelerate plant breeding

Abstract

One goal within plant breeding is to find the causal gene(s) explaining a given phenotype. Semantic web technology brings opportu- nities to integration data and information accross spread data sources. Chebi2gene and Marker2sequence are two applications relying on this se- mantic web technology to integration genes, proteins, metabolites, path- ways, literature. Their web-based interface allows biologists to use and explore this network of information