BAM36BIN, B4M36BIN -- Bioinformatika

The goal of the course is to explain the principles used in algorithms for processing biological data. The course contains algorithms for sequence assembly, sequence alignment, sequence probabilistic and grammatical modelling, algorithms used for finding connections between primary and secondary/tertial structure of proteins and their functions and interactions, algorithms for analysis of data from highly parallel measurements (especially gene expression), and algorithms for modelling processes as metabolism and regulation of gene expression.

• Lecturer: Jiří Kléma,
• Tutors: Petr Ryšavý, Jiří Kléma,
• Classification requirements.
• Lectures schedule.
• Tutorials schedule.

• Class schedule: B4M36BIN, BAM36BIN.
• Syllabus on the faculty website.
• Forum.
• Upload system.

• Durbin et al.: Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids, Cambridge University Press, 1998.
• Jones, Pevzner: An Introduction to Bioinformatics Algorithms, The MIT Press, 2004.
• Lesk, A.M.: Introduction to Bioinformatics. Oxford University Press, 4th Edition, 2014.