Course: Bioinformatics Project

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Course title Bioinformatics Project
Course code KMB/215
Organizational form of instruction Lesson
Level of course Bachelor
Year of study not specified
Frequency of the course In each academic year, in the winter semester.
Semester Winter
Number of ECTS credits 8
Language of instruction English
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Course availability The course is available to visiting students
Lecturer(s)
  • Oborník Miroslav, prof. Ing. Dr.
  • Svoboda Petr, Mgr. DiS. et DiS.
Course content
Processing of biological data, eventually creation of a bioinformatic tool, or modification of the existing one, in order to process the data. The Project Report as a result should be in the form of a manuscript consisting of Abstract, Introduction, Material and Methods, Results, and Discussion. In an ideal case, the manuscript is then submitted to and published in an international scientific journal.

Learning activities and teaching methods
Dialogic (discussion, interview, brainstorming), Work with text (with textbook, with book), Laboratory
  • Preparation for classes - 25 hours per semester
  • Class attendance - 150 hours per semester
  • Semestral paper - 25 hours per semester
Learning outcomes
Independent semester project done in cooperation with biologists in their labs. The aim is to provide students with valid biological data sources, which they have to evaluate and transform them into useful structures, which can be used for scientific purposes later on.
The student should be able to work independently on the resolution of a given biological question by using bioinformatic skills, including the modification of a bioinformatic tool, or eventually create a bioinformatic tool. The sudent should also be able to interpret the results of performed analyzes and write a scientific manuscript.
Prerequisites
completed courses: Introduction to Bioinformatics Python Basics Molecular Biology and Genetics Diversity of Life Introduction to Genomics

Assessment methods and criteria
Student performance assessment, Seminar work

Result: Project Report, should be approved by the supervisor and guarantor.
Recommended literature
  • A. M. Lesk: Introduction to Bioinformatics, Oxford University Press, 3rd edition, 2008, 978-0199208043.
  • Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins (2004) Wiley-Interscience, USA, 978-0471478782.
  • A. M. Lesk. Introduction to Genomics. New York, 2007. ISBN 978 0199296958.
  • J. Pevsner. Bioinformatics and Functional Genomics. New Jersey, USA, 2009. ISBN 978-0-470-08585-1.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Molecular and Cell Biology and Genetics (1) Category: Biology courses - Recommended year of study:-, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Molecular and Cell Biology and Genetics (1) Category: Biology courses - Recommended year of study:-, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Molecular and Cell Biology and Genetics (1) Category: Biology courses - Recommended year of study:-, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Bioinformatics (1) Category: Informatics courses 3 Recommended year of study:3, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Molecular and Cell Biology and Genetics (1) Category: Biology courses - Recommended year of study:-, Recommended semester: Winter