A pan-genomic approach to genome databases using maize as a model system
Margaret Woodhouse, Ethalinda K. S. Cannon, John L. Portwood, Lisa Harper, Jack M. Gardiner, Mary Schaeffer, Carson M. Andorf
Abstract
Research in the past decade has demonstrated that a single reference genome is not representative of a species' diversity. MaizeGDB introduces a pan-genomic approach to hosting genomic data, leveraging the large number of diverse maize genomes and their associated datasets to quickly and efficiently connect genomes, gene models, expression, epigenome, sequence variation, structural variation, transposable elements, and diversity data across genomes so that researchers can easily track the structural and functional differences of a locus and its orthologs across maize. We believe our framework is unique and provides a template for any genomic database poised to host large-scale pan-genomic data.