Trend Analysis in Large Timeseries of High-Throughput Screening Data
Using a Distortion-Oriented Lens with Semantic Zooming
Dominique Brodbeck and Luc Girardin. Presented at the IEEE Symposium on Information Visualization (InfoVis 2003), Seattle, October 19-21, 2003.
We present a design study that shows how information visualization techniques and
information design principles are used to interactively analyze trends in large amounts of raw data from
high-throughput screening experiments. The tool summarizes trends in the data both in space and time,
through the use of distortion-oriented magnification as well as semantic zooming. Careful choice of visual
representations allows an information-rich yet easily interpretable display of all the data and statistical
indicators in a single view. It is used commercially for quality control of measurements in the drug
discovery process.
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