Course details
Bioinformatics
BIF Acad. year 2009/2010 Summer semester 5 credits
This course introduces students to basic principles of molecular biology, present algorithms pro biological data analysis, describes their time complexity and shows direction how to design the new methods very effectively. Particularly, the following algorithms will be discussed: methods for sequence alignment, evolutionary models, construction of phylogenetic trees, algorithms for gene identification using machine learning and approaches for prediction of 2D and 3D protein structure. Lectures will be supplement with practical examples using available biological databases.
Guarantor
Language of instruction
Completion
Time span
- 26 hrs lectures
- 12 hrs pc labs
- 14 hrs projects
Department
Subject specific learning outcomes and competences
Students will be able to take advantages of large biological database and design new efficient algorithms for their analysis.
Understanding the relations between computers (computing) and selected molecular processes.
Learning objectives
To understand the principles of molecular biology. To perceive the basic used algorithms and to well informed about relevant biological databases. To be able to design new effective methods for biological data analysis.
Prerequisite knowledge and skills
There are no prerequisites
Syllabus of lectures
- Introduction to bioinformatics
- Basis of molecular biology
- Tools of molecular biology
- Biological databases
- Sequence alignment, dynamic programing, BLAST, FASTA
- Evolutionary models
- Construction of phylogenetic trees
- DNA assembling
- Genomics and gene searching
- Proteins and their prediction
- Computation of RNA secondary structure
- Proteomics, regulatory networks
- Polymorphism of genes
Syllabus of computer exercises
- Biological databases
- Sequence alignment
- Phylogenetic trees
- Protein structure analysis
Progress assessment
Study evaluation is based on marks obtained for specified items. Minimimum number of marks to pass is 50.
None.
Controlled instruction
Mid-term exam, project, computer lab assignments.
Course inclusion in study plans