SubjectsSubjects(version: 941)
Course, academic year 2023/2024
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Introduction to Applied Bioinformatics - GAF332
Title: Introduction to Applied Bioinformatics
Guaranteed by: Department of Biochemical Sciences (16-16160)
Faculty: Faculty of Pharmacy in Hradec Králové
Actual: from 2021
Semester: summer
Points: 0
E-Credits: 2
Examination process: summer s.:written
Hours per week, examination: summer s.:0/28, C+Ex [HS]
Capacity: unknown / unknown (unknown)
Min. number of students: unlimited
Virtual mobility / capacity: no
Key competences:  
State of the course: taught
Language: English
Teaching methods: full-time
Teaching methods: full-time
Note: deregister from the exam date if a requisite was not fulfilled
course can be enrolled in outside the study plan
enabled for web enrollment
Guarantor: doc. Ing. Petra Matoušková, Ph.D.
Co-requisite : GAF370
Annotation -
Last update: doc. Ing. Petra Matoušková, Ph.D. (27.09.2021)
Bioinformatics is an interdisciplinary field of science dealing with the storage, classification, analysis, and interpretation of biological data. In the subject Introduction to Applied Bioinformatics, students learn about possibilities of how to find and use bioinformatics databases and tools. This subject is focused mainly on practical usage and training of various web-based programs and software tools. Topics include scientific literature search, protein and nucleotide sequences databases, sequences comparison and their feature analysis, restriction analysis, primer design, specialized databases, etc.
Course completion requirements -
Last update: doc. Ing. Petra Matoušková, Ph.D. (30.09.2021)

Credits are obtained based on presence (at least 80%), all homeworks hand.

The exam is written by the computer (possible to use all materials from lectures).

Literature -
Last update: doc. Ing. Petra Matoušková, Ph.D. (27.09.2021)


  • . . In Selzer, Paul M. Marhöfer, Richard J., Koch, Oliver (eds.). Applied bioinformatics : an introduction . New York, NY: Springer Berlin Heidelberg, 2018, s. -. ISBN 978-3-319-68299-0..

Syllabus -
Last update: doc. Ing. Petra Matoušková, Ph.D. (27.09.2021)

Literature search (Web of Science, Scopus, Endnote, Impact factor, H-index)

Proteins (databases, sequence search, sequence formates, sequence manipulation, features, domain prediction, multiple alignments, similarity search)

Nucleotides (databases, polymorphisms, restriction analysis, primer design, analysis of unknown sequences, open reading frame identification)

Genomes and databases, BLAST

MicroRNA databases, target search

Entry requirements
Last update: doc. Ing. Petra Matoušková, Ph.D. (21.01.2018)

Exam from Molecular Biology

Teaching methods
Last update: doc. Ing. Petra Matoušková, Ph.D. (21.01.2018)

The lessons are in the computer rooms, each lesson starts with short introduction followed by practical individual training.

Requirements to the exam
Last update: doc. Ing. Petra Matoušková, Ph.D. (21.01.2018)

Practical knowledge of the subject with the possibility to use gained materials.

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