Recent
technological advances in biology promise unprecedented opportunities
for rapid and sustainable advancement of crop quality. Following this
trend, the Rosaceae research community continues to generate large
amounts of genomic, genetic and breeding data. These include annotated
whole genome sequences, transcriptome and expression data, proteomic
and metabolomic data, genotypic and phenotypic data, and genetic and
physical maps. Analysis, storage, integration and dissemination of
these data using bioinformatics tools and databases are essential to
provide utility of the data for basic, translational and applied
research. This review discusses the currently available genomics and
bioinformatics resources for the Rosaceae family.
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