Course detail
Practics of Bioinformatics
FEKT-BPC-PBIAcad. year: 2023/2024
The course is focused on practical application of basic bioinformatical analyses of DNA and amino acids sequences. Primarily, it is oriented on global, local and multi alignment algorithms and algorithms for RNA and protein sequence secondary structure prediction. The signal processing methods for genomic and proteomic data analyses are studied. Further, practical application of phylogenetic tree construction is applied on suitable dataset of DNA sequences. Students will learn how to analyse sequences in R programming language.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Entry knowledge
Rules for evaluation and completion of the course
Computer exercises are mandatory, properly excused missed lectures can be compensated individually after discussion with teacher.
Aims
The student is able to:
- find protein-coding DNA sequences in GenBank database and load the data in desired format
- find protein sequence, which is coded by the DNA sequence, in Uniprot database
- find coding regions in DNA sequences
- analyse sequences in R
- use alignment online tools and suitably choose scoring parameters according data type
- program algorithms for alignment with afinne penalty
- predict secondary structure of protein sequences with online tools
- predict positive selection in genes
- program calculation of DNA spectrograms
- construct phylogenetic tree from DNA sequences by online tools
Study aids
Prerequisites and corequisites
Basic literature
Recommended reading
Elearning
Classification of course in study plans
- Programme BPC-BTB Bachelor's 3 year of study, summer semester, compulsory
Type of course unit
Exercise in computer lab
Teacher / Lecturer
Syllabus
- Introduction into R and Bioinformatics data – Processing of genome sequences according to the principal statistical standards
- Processing of genome sequences using R Package \ Bioconductor \ Biostrings
- Affine Alignment Calculations - Calculation options with R packages
- Extraction of genes, ORFs using R and working with the NCBI, GenBank database
- Shiny Apps in R and Clinical Bioinformatics
- A scored programming test
- Practical task –Identification HGT (Horizontal Gene Transfer)
- Practical task – Analysis of transcriptome in Biotechnology
- Practical task – Optimization of sequencer curves
- Practical task – Preview into ChemoInformatics
- Presentation of individual work.
- Presentation of individual work.
- Test
Elearning