Tool Integration, Development, and Visualization for High Throughput Experiment Environments

Judy Devaney, NIST

Abstract

The large volumes of data that result from High Throughput Experiments need screening, analysis, and visualization to be useful. Much software already exists that can provide needed functionality; this includes packages such as MATLAB with its many toolboxes, and IDL with its ancillary software such as ENVI. Additional analysis software also exists in Math libraries that can be found on the net, for example netlib at http://www.netlib.org/. All of these are already familiar to the scientists working on the experiments. It is most useful if this software can be used in conjunction with database technology. Also, since these databases can grow very large, there is also a need for new algorithms, particularly ones that summarize data; and for visualization techniques that can look globally at data. This project describes ongoing work at NIST to integrate database technology with software packages and math libraries that are familiar to the scientists. Additionally, it also describes tools for dropping analyses and results into an immersive visualization environment; and a new genetic programming system being developed for automatic algorithm generation.

Contact Information