460-4100/02 – Algorithms for Bioinformatics (ABI)

Gurantor departmentDepartment of Computer ScienceCredits4
Subject guarantorprof. RNDr. Václav Snášel, CSc.Subject version guarantorIng. Jana Nowaková, Ph.D.
Study levelundergraduate or graduateRequirementOptional
Year2Semesterwinter
Study languageEnglish
Year of introduction2015/2016Year of cancellation
Intended for the facultiesFEIIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
NOW021 Ing. Jana Nowaková, Ph.D.
SNA57 prof. RNDr. Václav Snášel, CSc.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Graded credit 2+2
Combined Graded credit 10+0

Subject aims expressed by acquired skills and competences

Graduate Course gives the following knowledge and skills: basic theoretical background for Bioinformatics, implementation and application of selected methods for DNA, RNA, proteins analysis. practical application to real data. Data visualization.

Teaching methods

Lectures
Tutorials

Summary

Students, during the course, are introduced to the basic approaches, methods and algorithms from bioinformatics. The lectures will provide the necessary amount of theory so that it can be applied during the individual work of the students on the tutorials. Tutorials will provide space for discussing the problems, showing practical tasks and exercising on simple examples.

Compulsory literature:

Wing-Kin Sung. Algorithms in Bioinformatics: A Practical Introduction. Chapman & Hall/CRC Mathematical & Computational Biology. 2009. Arthur Lesk. Introduction to Bioinformatics. Oxford University Press, 2014. Pierre Baldi;G. Wesley Hatfield. DNA Microarrays and Gene Expression: From Experiments to Data Analysis and Modeling. Cambridge University Press 2002.

Recommended literature:

Caroline St. Clair, Jonathan E. Visick. Exploring Bioinformatics: A Project-Based Approach. Jones & Bartlett Learning, 2013.

Way of continuous check of knowledge in the course of semester

E-learning

Další požadavky na studenta

Additional requirements are not placed on the student.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Introduction to Molecular Biology Sequence Similarity Suffix Tree Database search Alignment Algorithm Needleman-Wunsch Phylogeny Reconstruction Phylogeny Comparison RNA secondary structure prediction DNA Sequencing Population genetics

Conditions for subject completion

Full-time form (validity from: 2015/2016 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Graded credit Graded credit 100  51
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2019/2020 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology P English Ostrava 2 Optional study plan
2019/2020 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology K English Ostrava 2 Optional study plan
2018/2019 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology P English Ostrava 2 Optional study plan
2018/2019 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology K English Ostrava 2 Optional study plan
2017/2018 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology P English Ostrava 2 Optional study plan
2017/2018 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology K English Ostrava 2 Optional study plan
2016/2017 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology P English Ostrava 2 Optional study plan
2016/2017 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology K English Ostrava 2 Optional study plan
2015/2016 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology P English Ostrava 2 Optional study plan
2015/2016 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology K English Ostrava 2 Optional study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner