Bi4013 Team project of Computational Biology and Biomedicine - Biomedical Bioinformatics

Faculty of Science
Spring 2022
Extent and Intensity
0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).
Teacher(s)
doc. Mgr. Natália Martínková, Ph.D. (lecturer)
doc. Mgr. David Bednář, Ph.D. (lecturer)
Mgr. Eva Budinská, Ph.D. (lecturer)
doc. Ing. Vlad Popovici, PhD (lecturer)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Contact Person: doc. Mgr. Natália Martínková, Ph.D.
Supplier department: RECETOX – Faculty of Science
Timetable
Fri 10:00–11:50 D29/347-RCX2
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
During the course of the semester the students will form groups and work on a selected bioinformatic project. The main aim of the course is to teach the students to cooperate and perform the task including the result interpretation and presentation of results as a team.
Learning outcomes
After the course the student will be able to: - comprehend the biological and bioinformatic background of the data and methods applied and how it influences the project - perform the data analysis of an a-priori unknown dataset (description of dataset limitations, descriptive statistics, ...) - work as part of a team - present the results
Syllabus
  • The data will be selected from the following domains: - next generation sequencing data (genomics, transcriptomics, metagenomics - microbiome) - DNA sequencing - mass spectrometry data (metabolomics, proteomics) - structural bioinformatics - and alike
Literature
  • KOLAJOVÁ, Lenka. Týmová spolupráce : jak efektivně vést tým pro dosažení nejlepších výsledků. 1. vyd. Praha: Grada, 2006, 105 s. ISBN 8024717646. URL info
Teaching methods
Discussion over the tasks and presentation of the results.
Assessment methods
Critical evaluation of the given task.
Language of instruction
Czech
Further Comments
Study Materials
The course is taught annually.
The course is also listed under the following terms Spring 2020, Spring 2021.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/sci/spring2022/Bi4013