Monday
Tuesday
Thursday
Friday
Saturday
Computational Molecular Biology, has emerged from the Human Genome Project as an important discipline for academic research and industrial application. The growing size of biological databases, the complexity of biological problems and the necessity to deal with errors in biological sequences all result in large run time and memory requirements. Biological sequence databases are growing at an exponential rate. All of these factors will make the development of fast, low memory requirements and high-performances algorithms increasingly important in Computational Molecular Biology.
In our session, we are interested in papers that deal with all aspects of algorithms in Molecular Biology. We are, particularly, interested in algorithms that address fundamental and/or applied problems in Molecular Biology, that are computationally efficient, that have been implemented and experimented on simulated and/or on real biological sequences and that provide interesting new results. The submitted papers should present recent research results and identify and explore directions for future research.
Topics include, but not limited to: (i) strings processing, (ii) biological sequences comparison,
(iii) structures prediction, (iv) phylogeny reconstruction, (v) DNA sequences assembly, clustering, and mapping, (vi) molecular evolution,
(vii) genes prediction/recognition, (viii) genes expression