Introduction to bioinformatics 1
General data
Course ID: | 1000-711BI1 |
Erasmus code / ISCED: |
11.303
|
Course title: | Introduction to bioinformatics 1 |
Name in Polish: | Wstęp do bioinformatyki 1 |
Organizational unit: | Faculty of Mathematics, Informatics, and Mechanics |
Course groups: |
Obligatory courses for 2nd year Bioinformatics |
ECTS credit allocation (and other scores): |
4.50
|
Language: | Polish |
Type of course: | obligatory courses |
Short description: |
The lecture and the accompanying computer lab are intended for students of the second year of the macro-course "Bioinformatics and Systems Biology" and for the third year of "Molecular Design and Bioinformatics". They provide the basis for the application of computer science and computational science to the analysis of genes, genomes and proteins. |
Full description: |
The lecture and the accompanying laboratory provide the basis for the application of computer science and computational science to the analysis of genes, genomes and proteins. The framework program is as follows: 1. Databases for molecular biology and biotechnology, overview, interdependencies, relational databases. 2. Basic operations on one nucleotide sequence. 3. Comparing two sequences. 4. Searching databases of nucleotide and amino acid sequences using sequences as queries. 5. Comparing multiple sequences. 6. Molecular evolution. 7. Analysis of protein families, representations. 8. Profiles, HMM etc… Advanced methods of finding sequence similarity 9. Sequence themes related to function. Protein family motifs, cell compartment segregation signals, gene expression control sequences. 10. Methods of sequencing and assembling genomes. 11. Differentiation of coding and non-coding DNA sequences (ab initio and homology-based methods). 12. Genome annotation. 13. Comparative (whole genomes) and functional genomics. |
Bibliography: |
Understanding Bioinformatics, M. Zvelebil, J. O. Baum, Garland Science, Taylor&Francis Ltd.; 1st edition (6 Sept. 2007) (ISBN: 978-0815340249) Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins, Andreas D. Baxevanis, B. F. Francis Ouellette, Willey, (ISBN: 978-0-471-47878-2) DNA. The secret of life, J. D. Watson and A. Berry, wyd: A. F. Knopf, New York, 2003 (ISBN 0-375-41546-7) Introduction to Bioinformatics, Arthur M. Lesk (Jun 2, 2008) |
Learning outcomes: |
- understands theoretical basis of selected bioinformatic methods - can analyze and compare DNA/RNA/protein sequences - can evaluate right method and apply appropriate bioinformatics tools |
Assessment methods and assessment criteria: |
Completion of the course (exercises + lecture) in the form of an exam will be held remotely using the Kampus platform (multiple choice test). |
Classes in period "Winter semester 2023/24" (past)
Time span: | 2023-10-01 - 2024-01-28 |
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MO TU LAB
WYK
LAB
W TH FR |
Type of class: |
Lab, 45 hours
Lecture, 15 hours
|
|
Coordinators: | Norbert Odolczyk, Piotr Zielenkiewicz | |
Group instructors: | Norbert Odolczyk, Piotr Zielenkiewicz | |
Students list: | (inaccessible to you) | |
Examination: | Examination |
Classes in period "Winter semester 2024/25" (future)
Time span: | 2024-10-01 - 2025-01-26 |
Navigate to timetable
MO TU W TH FR |
Type of class: |
Lab, 45 hours
Lecture, 15 hours
|
|
Coordinators: | (unknown) | |
Group instructors: | Norbert Odolczyk | |
Students list: | (inaccessible to you) | |
Examination: | Examination |
Copyright by University of Warsaw.