Translational Bioinformatics: At the Interface of Genomics and Quantitative Genetics
2007
Beavis, William D. | Schilkey, Faye D. | Baxter, Susan M.
Genomics and bioinformatics are expected to revolutionize crop improvement. We have to admit, however, that while information from the various “omics” is being used by developmental and evolutionary biologists, the information is not being used routinely by translational plant biologists or applied plant breeders. This is due to a failure to provide information from omics technologies in formats that can be used to develop more effective and efficient assays that the breeder can use for selection. A similar situation exists in biomedical research where more efficacious therapies will be realized if omics information is translated into biomarker-based diagnostics. Because data are still lacking in plant science, herein we describe the development of an integrated web-based system that supports translational research using a biomedical example that can serve as a model for translational plant research. We also discuss how the bioinformatic system is agnostic with respect to data content and is capable of accepting omics data that eventually will be generated by plant biologists for use by plant breeders to develop diagnostic biomarkers for use in selection.
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