Computation
The computational aspects of the laboratory are dedicated to creating
methods for the numerical analysis of biological systems. The efforts
cover roughly four areas: 1) Databasing, 2) Data mining/analysis, 3)
Model building, 4) Numerical simulation and analysis.
Database efforts entail the creation of complex biological databases
containing more that just sequence and molecular structure information,
but also containing information on developmental, signal transduction
and metabolic pathways, models and parameters for various cellular processes,
primary molecular profiling and image data.
The datamining and analysis efforts involve developing informative
relationships among the different datatypes to identify biological components
and subsystems responsible for experimental observations.
Model building tools are central to aiding in the rapid evaluation
of theories of biochemical reaction network functioning and in explaining
complex experimental data such a gene microarrays.
Numerical simulation and analysis tools allow models, at various levels
of abstraction and different types (stochastic or deterministic, differential
or algebraic), to be evaluated for their dynamical behavior and the
dependency of behavior on parameters and model structure.
For specific projects in this area see the Computation
Research Page.
People interested in further reading useful in this area might take
a look at:
Simulation
Numerical Analysis
Databasing
