NextGen Sciences Announces Collaboration with the Harvard Institute of Proteomics
News Nov 28, 2007
NextGen Sciences has announced the commencement of its collaboration with The Harvard Institute of Proteomics. The collaboration, which marks the start of NextGen Sciences’ Center of Excellence Program, will focus on integrating the Company’s Information Management Software (orchestratorIMS™) with Harvard’s extensive clone database in order to develop advanced automated methods for multi construct design.
NextGen Sciences’ Center of Excellence Program provides leading academic institutes with access to the Company’s proprietary automated platforms and software systems to advance the productivity and efficiency of their research initiatives. As part of the program, the institutions will work in partnership with NextGen Sciences to inform the co-development of new product and technology enhancements.
The collaboration with The Harvard Institute of Proteomics will focus on integrating Harvard’s clone database with orchestratorIMS™. By combining these leading data management systems, researchers at the Institute will be able to design key research projects and implement them using NextGen Sciences’ leading automated expressionworkstation™ platform.
Commenting on the project, Dr Joshua LaBaer, Director of the Harvard Institute of Proteomics, said: “Participation in this initiative, and access to NextGen Sciences’ orchestratorIMS licenses and expertise, will allow us to design and complete what would have been lengthy and challenging projects in a much shorter period of time and with greater ease. We look forward to working with NextGen Sciences on these key projects, and anticipate publishing robust, novel data.”
“We are very excited about the launch of our Center of Excellence Program and especially with a research group as distinguished as the Harvard Institute”, commented Dr Mike Pisano, CEO of NextGen Sciences. “The scientists at the Harvard Institute are at the leading edge of protein research and by providing access to our systems we will enable them to significantly advance the throughput of their research.”