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With the deluge of data coming from high-throughput sequencing and array-based genotyping platforms, there is increasing interest in associating molecular genetic variation with physiological and phenotypic variation. Not only does the high volume of information generated for diverse species strengthen our understandings of the genetic mechanisms that underlay natural variation, it also poses significant challenges in terms of data post-processing, data storage and visualization, and the computationally intensive area of data analysis.

The Gramene Genetic Diversity Module: a resource for genotype-phenotype association analysis in grass species