All of the above-mentioned items find an application field in biology where data analysis, and not data production, has become the bottleneck of bioinformatics research. The development of new methods of data exploration and visualisation, more efficient search algorithms, new computer strategies for integrating and interpreting information in order to exploit the diversity of data are part of the challenges of research in bioinformatics and computer science. To access this new complexity, it is necessary to revisit algorithms and define new strategies to create new tools dedicated to the integration and mining of biological data in order to perform large-scale analyses and predictions while visualising data and results. These are exactly the types of questions we are interested in.