Effectively developing data science to better understand, accelerate and standardize plant breeding
Data for breeding
Data is both driving and rapidly changing the way we approach modern breeding and plant research. Thanks to the unprecedented speed of new developments in data science, including advances in machine learning, it is now possible to gain actionable insights into the genome, transcriptome, proteome, metabolome and phenome.
In short, data science – deployed effectively – can be a game changer when it comes to crop improvement innovation.
CropPedia
KeyGene is taking data science innovation one step further through its CropPedia technology . This revolutionary approach to data integration and visualization provides a more thorough understanding of what the data means to each of our partners.
ProgressiveSTL
Another KeyGene proprietary tool – ProgressiveSTL – uses groundbreaking algorithms to compare hundreds of plant genomes and form them into a pan-genome to best understand and incorporate breeding values. KeyGene integrates this technology in many of the crop improvement projects we initiate for, and with, our partners.