Course details
Advanced Bioinformatics
PBI Acad. year 2018/2019 Winter semester 4 credits
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Language of instruction
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Lecturer
Instructor
Subject specific learning outcomes and competences
Generic learning outcomes and competences
Learning objectives
Study literature
- Jones N.C., Pevzner P.: An introduction to algorithms in bioinformatics. MIT Press, 2004, ISBN 978-0262101066
Fundamental literature
- Zvelebil M., Baum J.: Understanding bioinformatics. Garland Science, London, 2007 ISBN 978-0815340249
- UniProt URL: http://www.expasy.uniprot.org/
- Gene Ontology URL: http://www.geneontology.org
- Protein Data Bank URL: http://www.pdb.org/
Syllabus of lectures
- Introduction
- Primary and derived bioinformatic data
- Genomes and genome analysis methods
- Uniprot and sequence analysis methods
- Statistical, information-theory and linguistic aspect of data
- Coding algorithms for biological sequence analysis
- PDB and structural data analysis
- Gene Ontology and functional data analysis
- Integration of data from multiple sources for genomics and proteomics
- Tools and libraries for software development (Biopython)
- Visualization tools (PyMol)
- Bioinformatics and nanotechnology: DNA computing, sequencing by hybridization
- Recent trends
Syllabus of computer exercises
- Biological sequence analysis
- Genome Browser, Biomart
- Biopython a PyMol
- R/Bioconductor
- Integration of bioinformatic data
Syllabus - others, projects and individual work of students
Progress assessment
Exam prerequisites
Course inclusion in study plans