InfVis--platform-independent visual data mining of multidimensional chemical data sets.
The tremendous increase of chemical data sets, both in size and number, and the simultaneous desire to speed up the drug discovery process has resulted in an increasing need for a new generation of computational tools that assist in the extraction of information from data and allow for rapid and in-depth data mining. During recent years, visual data mining has become an important tool within the life sciences and drug discovery area with the potential to help avoiding data analysis from turning into a bottleneck. In this paper, we present InfVis, a platform-independent visual data mining tool for chemists, who usually only have little experience with classical data mining tools, for the visualization, exploration, and analysis of multivariate data sets. InfVis represents multidimensional data sets by using intuitive 3D glyph information visualization techniques. Interactive and dynamic tools such as dynamic query devices allow real-time, interactive data set manipulations and support the user in the identification of relationships and patterns. InfVis has been implemented in Java and Java3D and can be run on a broad range of platforms and operating systems. It can also be embedded as an applet in Web-based interfaces. We will present in this paper examples detailing the analysis of a reaction database that demonstrate how InfVis assists chemists in identifying and extracting hidden information.
Oellien
Frank
F
Computer-Chemie-Centrum, University of Erlangen-Nuremberg, Nägelsbachstrasse 25, D-91052 Erlangen, Germany. Frank.Oellien@intervet.com
Ihlenfeldt
Wolf-Dietrich
WD
Gasteiger
Johann
J
D019295:Computational Biology / Q000295:instrumentation* / Q000379:methods*; D004353:Drug Evaluation, Preclinical / Q000379:methods*; D020407:Internet; D004364:Pharmaceutical Preparations / Q000737:chemistry*; D012984:Software; D013997:Time Factors
D004364:Pharmaceutical Preparations