Analysis of data
The following services are just examples of how CBS helps its clients analysing their experimental data
There is a lot of hidden information in time courses. Simple mathematical analysis can extract this hidden information, for example:
The duration of a lag phase can give information about the size of pools that are not possible to access experimentally.
Differences in decay kinetics, for example, linear versus exponential decays, or a decay that has two phases, one fast and another slow, are very informative on the mechanisms underlining the decay.
Upon a large increase in an inhibitor concentration, the target metabolite does not decay to zero. Does this imply that there are two independent pools for the metabolite or does this mean that there is a kinetic restriction that does not allow the decay to reach zero?
From the rates of decay, the rate of hidden processes that cannot be accessed experimentally can be inferred.
You have a set of time courses and want to estimate a rate constant, a turnover time, or just the size of different pools. You can profit from CBS experience in model building and fitting to extract quantitative parameters from experimental data.
Apparently erratic data may actually be the result of an oscillatory or chaotic pattern with important functional consequences. CBS can help you finding these hidden patterns.
