Università Roma Tre

- Fundamental notions of molecular biology (nucleic acids, protein structures, central dogma)
- Reminders of probability theory (probability distributions, Bayes' theorem, random walks)
- Sequence alignment: scoring matrices, global and local alignment methods (dynamic programming, BLAST)
- Phylogenetic trees: distance methods (ultrametric and additive trees), probabilistic methods (maximum likelihood, Bayesian methods)
- Population genetics: Hardy-Weinberg law, genetic drift, natural selection
- Boolean networks: gene regulatory networks, asyncronous Boolean networks, attractors and attractive cycles, positive and negative cycles.

- Clote P., Backofen, R., Computational Molecular Biology. An Introduction, Wiley Series in Mathematical and Computational Biology, 2000.
- Allman E. S., Rhodes J. A., Mathematical Models in Biology. An Introduction, Cambridge University Press, 2004.
- Citterich M. H., Ferr ́e F., Pavesi G., Romualdi C., Pesole G., Fon- damenti di bioinformatica, Biologia Zanichelli, 2018.
- Gillespie, J., Population Genetics: a Coincise Guide, Johns Hopkins University Press, 2004.
-R uet P., Local cycles and dynamical properties of Boolean networks, Mathematical Structures in Computer Science, Volume 26, Issue 4, May 2016, pp. 702 - 718.