In protein structure prediction, one is interested in determining the secondary, tertiary and quaternary structure of proteins, given their amino acid sequence. Homology search aims at detecting increasingly distant homologues, i.e., proteins related by evolution from a common ancestor. Multiple alignment and phylogenetic tree construction are inter-related problems. Multiple alignment aims at aligning a whole set of sequences to determine which subsequences are conserved. This works best when a phylogenetic tree of related proteins is available.
Gene finding aims at locating the genes in a DNA sequence.
Finally, in gene mapping the task is to identify potential gene loci for a particular disease, typically based on genetic marker data from patients and controls. We solicit papers with important new insights and experiences on knowledge discovery and data mining from the modeling and simulation of complex biological systems. Topics of interest lie at the intersection of KDD and Bioinformatics. Authors submitting papers to this workshop are also encouraged to submit papers for an independent review and possible publication in the forthcoming special issue on Bioinformatics and Biological Data Management of Information Systems . Workshop Day Paper Format Submissions on the above and related topics of bioinformatics and data mining are invited.