Bioinformatics involve the creation and advancement of algorithms using techniques including computational intelligence, applied mathematics and statistics, informatics, and biochemistry to solve biological problems usually on the molecular level.

Computational Intelligence Algorithms and DNA Microarrays.- Inferring Gene Regulatory Networks from Expression Data.- Belief Networks for Bioinformatics.- Swarm Intelligence Algorithms in Bioinformatics.- Time Course Gene Expression Classification with Time Lagged Recurrent Neural Network.- Tree-Based Algorithms for Protein Classification.- Covariance-Model-Based RNA Gene Finding: Using Dynamic Programming versus Evolutionary Computing.- Fuzzy Classification for Gene Expression Data Analysis.- Towards the Enhancement of Gene Selection Performance.- Saccharomyces pombe and Saccharomyces cerevisiae Gene Regulatory Network Inference Using the Fuzzy Logic Network.- Multivariate Regression Applied to Gene Expression Dynamics.- The Amine System Project: Systems Biology in Practice.- DNA Encoding Methods in the Field of DNA Computing.