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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.

Basic information

Distant teaching in this course in March 2020

Please, get familiar with resources provided for the individual lectures and labs. The resources were extended for distant form of teaching, we send the extensions (readings, references to videlectures) by email every week. The discussion will be held on student forum. We will organize regular online consutations where we will answer your questions. The first one was on Monday 30th March at 12:45, the other will be announced by email and through Google Calendar.

  • Durbin et al.: Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids, Cambridge University Press, 1998.
  • Lesk, A.M.: Introduction to Bioinformatics. Oxford University Press, 4th Edition, 2014.
courses/bin/start.txt · Last modified: 2020/03/31 11:53 by klema