Project Number: 6402-21310-004-13
Start Date: Sep 15, 2011
End Date: Sep 15, 2016
We will develop high-throughput analysis pipelines for rapidly and accurately integrating genomic, transcriptomic, proteomic, metabolomic, and phenotypic data for species of importance to U.S. agriculture. Research will focus on expediting the association of genotype with phenotype while defining the biomolecular interactions that link the two. Unlike most existing bioinformatics tools, our algorithms and pipelines will employ parallel processing and other high-performance computing (HPC) principles from their inception, thus permitting scaling of computer resources to adequately meet the storage and memory needs of a wide-array of projects. In addition to de novo tool development, we will work to upgrade existing tools using HPC concepts. An important component of our work will be development of effective ways to visualize complex relationships among diverse data sets. To make our analyzed data as accessible and understandable as possible, we will utilize gene ontology (GO) techniques to annotate and “cross-link” molecular data.