Handbook

This course explores the computational basis of bioinformatics and complements and extends understanding of bioinformatics tools and resources acquired in other courses, with a focus on the analysis of complex biological datasets and the application of mathematical and computational methods to problems in modern life science. Example domains include sequence … For more content click the Read More button below. Specific topics include: Algorithms and representations in DNA and protein sequence analysis: string matching and alignment, tree building methods, hidden Markov models and other probabilistic representations, genome assembly and mapping. Computational representations in systems biology including Boolean and Bayesian networks. Optimisation and machine learning approaches used in bioinformatics.