KeyGene, Phenome Networks to cross-licensing software
Today (January 16), KeyGene and Phenome Networks announced an agreement to establish a strategic partnership in the growing market for big data selection and genomics software. As part of this collaboration, Phenome Networks is providing a license to KeyGene for its plant breeding software (PenomeOne) to support the breeding of rubber-producing dandelion plants by KeyGene. Simultaneously, KeyGene is licensing Phenome Networks to use its CropPedia genomics platform for the integration and analysis of Big Data in rice.
“We were very impressed with the capabilities of CropPedia,” said Yaniv Semel, Co-Founder and CEO of Phenome Networks. “This is a complete solution for visualization and analysis of genomic data. It complements the genomic aspect of our livestock management solution – PhenomeOne. KeyGene is a well-known and innovative company in the seed and breeding industry and we are honored to collaborate with them.
Both parties will promote their respective software in interactions with their seed industry business partners interested in breeding management, genomic data integration and lead discovery.
In addition, Phenome Networks and KeyGene will explore the joint development of new software modules that will combine and extend the capabilities of PhenomeOne and CropPedia. This will allow seed companies to link traditional breeding to genomic data with cutting edge discovery software, to accelerate and increase breeding precision.
“PhenomeOne is an impressive software solution for running and managing plant breeding processes,” says Arjen van Tunen, CEO of KeyGene. “It is very complementary to our CropPedia. We have evaluated it extensively and concluded that it is the best system to manage our dandelion breeding program.
“The collaboration with Phenome Networks will allow both parties to combine and further develop their breakthrough software solutions that integrate traditional breeding with genomics. It is certainly something that our customers are looking for and which provide new tools to select innovative, healthy and sustainable crop varieties that meet the future demands of our societies. “