Graphical Platform for Manipulating Biological Regulatory Pathways
Senior Project: 1999-2000
Mickey Correll, Michael Garritano, Scott Geertgens and Ryan Lynch
The object of this project was to create a graphical platform for constructing,
annotating, and testing models of biological regulatory pathways. After
biologists perform experiments and collect data, an essential next step
involves drawing a regulatory pathway that summarizes the biologist's
hypotheses about the results observed. Scientists still do this with pen and
paper because the prior volume of experimental data has been small.
With the availability of completely sequenced genomes, large-scale experiments
are being performed; thus, the data interpretation problem became equally
larger and more difficult. To handle this increase in modeling complexity, a
tool was developed that can help a biologist to filter large-scale experimental
data and visually develop regulatory pathway models. In addition, a
well-formulated computational tool makes these models more than just static
representations of the scientist's hypotheses.
Because regulatory pathway models frequently suggest new experiments, the
computational tool allows the models to be annotated with additional
experimental data that support or refute the model. Finally, because these
models implicitly predict biological behavior, this tool can be used to perform
and display simulations of biological behavior given a model and some input
experimental conditions. The system was implemented in Java.


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