At PerkinElmer, our Informatics team is focused is on redefining how labs at major universities, in large Pharma and Biotech embrace data analytics, cloud-based data exploration applications and collaborative tools to modernize their research environments.
Big Data challenges in science are here to stay. Our integrated informatics solutions enable innovative research by unlocking the hidden knowledge within your scientific data.
Thousands of scientists worldwide benefit from Informatics solutions that enable a variety of Pharma disciplines, from basic research, screening, to translational and clinical research to gain deeper insights, faster.
940 Winter Street
Contact: Kanchan Deshpande
Remove the barriers that cause silos while still maintaining strict data security by using a modern approach to storing, sharing and reporting experimental information.
Drill into the data capture and management requirements in more detail and discuss how an ideal bioSAR tool should support faster insights and better science in the search for desperately needed new therapies.
An overview of improvements that are needed in the stage in the drug discovery/lead identification/lead optimization workflow where scientists will want to analyze data sets to derive insights and to answer pressing scientific questions and make research decisions.
A documentation and collaboration system for science.
The benefits of moving to an ELN outweigh the work involved in the transition.
Tips to find an ELN solution that addresses challenges and achieves stated goals.
Signals Lead Discovery lets you navigate easily and intuitively your chemical and biomolecular data - visualize your compounds and make correlations with a couple of clicks.
Featuring guided search and analysis workflows and dynamic data visualizations for on-the-fly exploration, the platform is intuitive – letting researchers focus on their science, not on software.
An index-based search to scientific computing applications while at the same time maintaining the benefits of hyper-scalability and ease of implementation.
Find solutions that allow you to rapidly locate and assemble accurate, comprehensive and workable data sets for detailed and scientifically intelligent refinement and analysis.
A look at some drug discovery challenges in details and what solutions could lead to better science and faster insights to action.