More and more biological data is being collected every day, but techniques to analyze and organize this data have not kept pace. Based on a unique computational platform developed by Duke researchers, Mimetics’ can find hidden patterns in complex, time series biological data that would otherwise be missed.
The unique analytical power of the Mimetics platform has already been used to identify new components in the circadian rhythm in mice, novel cell cycle regulators in yeast and periodic phenomena in Plasmodia, the organism responsible for Malaria.
Mimetics is currently working with companies in Food and Beverage production, AgBio and Human Health and Pharmaceuticals to show how they can obtain higher resolution views of the processes that go on in the biological organisms they work with.
How do Mimetics’ capabilities differ from other bio-computation approaches? People have become familiar with the term ‘Genomics’ which covers the powerful techniques for understanding the full suite of genes and their evolution. Other terms like proteomics and metabolomics have been coined to describe the patterns of molecular interaction in cells. Mimetics’ approach differs from all of these in the same way that a movie differs from a snapshot or a series of photographs. Mimetics bio-computation platform develops models of the causes and effects, the sequences in which molecules interact and regulate the way in which genes are expressed and function. This aproach incorporates powerful mathematics and a deep understanding of the biology involved.