Subject description
– Databases in bioinformatics, nucleic acid sequences, protein sequences, 3D structures, bibliographic information. Tools for analysis of sequences and structures.
– Genomic projects of model organisms, comparative genomics, identifying genes and regulatory regions of genomes, SNP analysis, gene networks.
– Bioinformatics tools in transcriptomics and high-throughput genetics.
– Integrative genomics.
– Bio-informatics tools in proteomics and interactomics.
– Applications: Bioinformatics in environmental genomics, pharmacogenomics.
– Ontologies and knowledge databases in bioinformatics.
– Bioinformatics approaches in chemogenomics.
– Project work with specific software tools during the lectures and within seminar.
The subject is taught in programs
Objectives and competences
Students will become familiar with the entire area of bioinformatics and current trends in the development of bioinformatics. The subject gives students an overview of the field and introduces the research work on the main spheres of research in bioinformatics.
Teaching and learning methods
Lectures, project workshops, practical work with computers.
Expected study results
Knowledge and understanding:
Students will learn specific bioinformatics tools, their limitations and their need for improvement in relation to the development of research in genetics, genomics, proteomics, systems and structural biology and in evolutionary studies. Students will also learn about the nature of the data in biological research and the most important biological databases and their use.
Basic sources and literature
– Jonathan Pevsner (2015) Bioinformatics and Functional Genomics, 3rd Edition, ISBN 9781118581780
– David W. Mount (2004) Bioinformatics. Sequence and Genome Analysis. Cold Spring Harbor Laboratory Press, USA, 2nd edition, ISBN 0879697121.
– pregledni in originalni znanstveni članki s širšega področja bioinformatike.
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