IWPACBB 2010 welcomes contributions reporting substantial, original and previously unpublished work in all areas of Bioinformatics, Chemoinformatics and Systems Biology. The papers can be presented from a formal, methodological, technical or applied point of view.

Topics of Interest

Computational areas of interest include, but are not limited to:

- Knowledge Discovery and Data Mining techniques for the Analysis of high-throughput biological data (trancriptomics, proteomics, metabolomics, fluxomics).

- Text Mining and Language Processing.

- Machine Learning and Pattern Recognition.

- Rough, Fuzzy and Hybrid Techniques.

- Hidden Markov Models.

- Bayesian Approaches.

- Artificial Neural Networks.

- Support Vector Machines.

- Evolutionary Computing.

- Case-Based Reasoning systems.

- Non-linear dynamical analysis methods and Intelligent signal processing.

- Feature selection.

Biological areas of interest include, but are not limited to:

- Sequence analysis.

- Comparison and alignment methods.

- Motif, gene and signal recognition.

- Molecular evolution.

- Phylogenetics and phylogenomics.

- Determination or prediction of the structure of RNA and protein in two and three dimensions.

- DNA twisting and folding.

- Gene expression and gene regulatory networks.

- Deduction of metabolic pathways.

- Microarray design and analysis.

- Proteomics.

- Functional genomics.

- Molecular docking and drug design.

- Computational problems in genetics such as linkage and QTL analysis, linkage disequilibrium analysis in populations, and haplotype determination.

- Molecular and cellular interactions.

- Emergence of properties in complex biological systems.

- Visualization of biological systems and networks.

- Data and software integration.

- In silico optimization of biological systems.

- Metabolic engineering applications.

- Cell simulation and modelling.

- Metabolic, regulatory and signalling networks: properties, dynamics, inference and reverse engineering.

- Metabolomics.