IV105 Bionformatics seminar

Faculty of Informatics
Autumn 2004
Extent and Intensity
1/0/1. 2 credit(s) (plus extra credits for completion). Recommended Type of Completion: k (colloquium). Other types of completion: z (credit).
Teacher(s)
doc. Ing. Matej Lexa, Ph.D. (lecturer)
Guaranteed by
prof. PhDr. Karel Pala, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics
Timetable
Tue 11:00–12:50 B411
Prerequisites
Those who sign up for this interdisciplinary course should have at least basic level of programming skills, or should be willing /able to aquire them during the semester (this will not be part of the course). The students will also need to read and comprehend a scientific paper or book chapter written in English. Deeper knowledge of algorithm design and programming will allow the particular student to focus more on the biological side of the studied problems. The programming languages and environment used by the student is arbitrary, Perl and C/C++ running under Unix are the most commonly used and preferred).
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 18 fields of study the course is directly associated with, display
Course objectives
This seminar is a new applied subject available at the Faculty of Informatics. It will lead the students into the fascinating world of molecules, genes and proteins. The Fall 2004 seminar will be titled "Protein function and structure prediction from amino-acid sequence". The course will convene for 2hrs weekly. Every student that successfully presents his material and receives at least 50% of the maximal score on the tests will earn 2 credits for the course. An extra credit is given for successful presentation of the student's program.
Syllabus
  • Initially, students will be made familiar with the basics of molecular biology necessary for further work. Specific issues of work with mass biological data will be reviewed. Later on into the course, students will study (individually or in pairs) specific published approaches in protein structure and function prediction. In the last few weeks each student will develop their own tool for bioinformatic analysis and present it to their colleagues during a student mini-conference (poster and a 10-minute presentation of a working program). After each of the first two parts of the course a short test will be given.
Assessment methods (in Czech)
Studenti relativně samostatně (maximálně ve dvou) nastudují a prezentují svým kolegům konkrétní metodu pro předpovídání funkce nebo struktury dle vlastního výběru. V závěru semináře budou studenti pracovat na vlastních algoritmech a jejich prezentaci ve formě studentské mini-konference (poster a 10-minutova prezentace funkčního programu). Po první a druhé části kurzu absolvují studenti krátký kontrolní test.
Language of instruction
Czech
Further Comments
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/~lexa/
The course is also listed under the following terms Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, Autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, Autumn 2021, Autumn 2022, Autumn 2023.
  • Enrolment Statistics (Autumn 2004, recent)
  • Permalink: https://is.muni.cz/course/fi/autumn2004/IV105