IV105 Bionformatics seminar

Faculty of Informatics
Autumn 2023
Extent and Intensity
0/1/0. 1 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
doc. Ing. Matej Lexa, Ph.D. (lecturer)
Guaranteed by
doc. Ing. Matej Lexa, Ph.D.
Department of Machine Learning and Data Processing – Faculty of Informatics
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics
Timetable
Wed 16:00–16:50 A319
Prerequisites
Those who sign up for this interdisciplinary course should be able to read and comprehend a scientific paper or book chapter written in English. Alternatively computational tools in bioinformatics will be studied (deeper knowledge of algorithm design and programming will allow the particular student to focus more on the biological side of the studied problems or vice versa). Students of non-biological fields should be concurrently enrolled in, or have previously passed IV107 Bioinformatics I. Alternatively they may frequent the course with the consent of the teacher.
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
Course objectives
A bioinformatics course opening up the world of genes and molecules to students via external lecturers and student presentations organized as a journal club.
Learning outcomes
Students will gain insight into problems studied in bioinformatics; they will practice presentation and discussion techniques in front of an audience.
Syllabus
  • The students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher) covering
  • Nanopore DNA sequencing methods
  • Tools and algorithms for processing and analysis of long/nanopore reads
  • Genomic and biological studies based on nanopore sequencing
Literature
  • ZVELEBIL, Marketa J. and Jeremy O. BAUM. Understanding bioinformatics. New York, N.Y.: Garland Science, 2008, xxiii, 772. ISBN 9780815340249. info
Teaching methods
student presentation and class discussion; lectures by external hosts
Assessment methods
Student presentation; written summary of a lecture
Language of instruction
Czech
Follow-Up Courses
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
The course is also listed under the following terms Autumn 2004, 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 2024.
  • Enrolment Statistics (Autumn 2023, recent)
  • Permalink: https://is.muni.cz/course/fi/autumn2023/IV105