Nonlinear Dynamics was founded by our CEO, Will Dracup, in 1989 and has headquarters in Newcastle upon Tyne, on the north-east coast of England and a US office in Durham, North Carolina.
We develop software for proteomics and metabolomics research which is designed to generate reliable conclusions that are reproducible across-labs. Our approach has been applied to label-free LC-MS and 2D gel image data analysis.
We released our first software for proteomics research under the Phoretix brand. Major advancements led to the introduction of the Progenesis brand in 2001.
The invention of SameSpots was the turning point for 2D gel image analysis. Using advanced image alignment prior to analysis was a revolutionary new approach which helped solve the challenges faced by proteomics researchers. Fully aligned data and no missing values is the cornerstone of the Progenesis range, and allows researchers to perform robust statistical analysis.
The Progenesis approach was developed for the analysis of label-free LC-MS data analysis with the launch of Progenesis LC-MS. We have recently extended the range into the relatively new and exciting area of metabolomics research with the introduction of Progenesis CoMet.
The Progenesis range is sold globally by our direct sales force and distributor network. Looking after our customers is our highest priority, and we have a dedicated customer care team which is renowned for its rapid response and expert advice.
The Fixing Proteomics Campaign
Nonlinear Dynamics are one of the Founders of Fixing Proteomics and helping to spread the word so proteomics can regain the recognition it deserves. Being part of the campaign has totally changed Nonlinear's approach to proteomics analysis. If you've ever worried about issues like "have I run enough biological replicates through my mass spec?" or "how reliable and reproducible are my proteomics experiments?" then visit www.fixingproteomics.org. Here you'll find simple analogies that help anyone understand the challenges of running proteomics experiments and more importantly what you can do about it using 4-steps to Fixing Proteomics as well as practical advice on running high quality proteomics experiments.