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Transcript
Module name
Module code
ISCED code
Study cycle
Semester
Responsible for this module
Language of instruction
Website
Prerequisites
ECTS
ECTS points hour equivalents
Educational outcomes verification
methods
Description
Reading list
Educational outcomes
Bioinformatics
B-BTM.052
0511: Biology
IIo
winter or summer
Dr Przemysław Grela, Department of Molecular Biology,
[email protected]
Dr Michał Kalita, Department of Genetics and
Microbiology, [email protected]
English
Basic knowledge of genetics and molecular biology
1
Contact hours (work with an academic teacher) – 10
Total number of hours with an academic teacher – 15
Number of ECTS points with an academic teacher – 0.5
Non-contact hours (students' own work) – 15
Total number of non-contact hours – 15
Number of ECTS points for non-contact hours – 0.5
Total number of ECTS points for the module - 1
Continuous evaluation of the computer classes
The course will familiarize students with the
bioinformatics tools for searching DNA/ protein
sequence databases and principles of DNA/protein
structural bioinformatics. This course provides
students with an overview of protein bioinformatics
including computational and experimental
approaches. It will introduce DNA, amino acid and
protein physical properties as well as the
alignment and evolution of DNA/protein sequences.
1. Baxevanis, A.D., Ouellette, B.F.F. Bioinformatics: A
Practical Guide to the Analysis of Genes and
Proteins. (2004) Wiley-Interscience
2. Higgs P.G., Attwood T.K. Bioinformatics and
Molecular Evolution (2005) Wiley-Blackwell
3. Jin Xiong, Essential Bioinformatics (2006) Cambridge
University Press
KNOWLEDGE
A student:
- understands the theory and statistical background of
commonly available bioinformatics tools
- recognizes the role of bioinfomatics methods in modern
biosciences
SKILLS
A student is able to:
- navigate through internet-based biological databases
- manipulate DNA and protein sequences using standalone PC programs and online tools
- find homologues, analyse sequences, construct and
interpret evolutionary trees
- analyse protein sequences, identify proteins, and
retrieve protein structures from databases. View and
interpret these structures.
ATTITUDES
- The broad education necessary to understand
the impact of bioinformatics in a global, and societal
context.
- Understand social, legal, and privacy implications of
Practice
electronic storage and sharing of biological information
-
Information about classes in the cycle
Website
Educational outcomes verification
methods
Comments
Reading list
Educational outcomes
A list of topics
Teaching methods
Assessment methods
Continuous evaluation of the computer classes
1. Baxevanis, A.D., Ouellette, B.F.F. Bioinformatics: A
Practical Guide to the Analysis of Genes and
Proteins. (2004) Wiley-Interscience
2. Higgs P.G., Attwood T.K. Bioinformatics and
Molecular Evolution (2005) Wiley-Blackwell
3. Jin Xiong, Essential Bioinformatics (2006) Cambridge
University Press
KNOWLEDGE
A student:
- understands the theory and statistical background of
commonly available bioinformatics tools
- recognizes the role of bioinfomatics methods in modern
biosciences
SKILLS
A student is able to:
- navigate through internet-based biological databases
- manipulate DNA and protein sequences using standalone PC programs and online tools
- find homologues, analyse sequences, construct and
interpret evolutionary trees
- analyse protein sequences, identify proteins, and
retrieve protein structures from databases. View and
interpret these structures.
ATTITUDES
- The broad education necessary to understand
the impact of bioinformatics in a global, and societal
context.
- Understand social, legal, and privacy implications of
electronic storage and sharing of biological information
Introduction to usage of DNA/protein databases.
Techniques for searching DNA/protein sequence
databases. Pairwise and multiple sequence
alignment, phylogenetic methods, constructing of
phylogenetic trees, methods for pattern recognition
and functional inference from sequence data.
Basics of protein structure and methods of
structure determination will be presented as well as
the software for visualizing 3D structures of
proteins. Methods for secondary and tertiary protein
structure prediction will be discussed as well as
methods for modeling small/molecule-protein interactions
and protein-protein interactions.
The teaching is given in the form of lectures, seminars
and computer exercises.
Assessment will be by a combination of computer
assignments, a written report and an examination.