KJE-2004 Bioinformatics - An introduction - 10 ECTS
Applicants from Nordic countries: Generell studiekompetanse eller realkompetanse + Matematikk R1 og R2 og enten Fysikk (1+2) eller Kjemi (1+2) eller Biologi (1+2) eller Informasjonsteknologi( 1+2) eller Geologi (1+2) eller Teknologi og forskningslære (1+2).
International applicants: Higher Education Entrance Qualification and certified language requirements in English. It is a requirement that students have some prior knowledge of biology and ecology, chemistry and mathematics (Participants must have taken introductory level university courses, and achieved pass grades, in these subjects).
A list of the requirements for the Higher Education Entrance Qualification in Norway can be found on the Norwegian Agency for Quality Assurance in Education website - nokut.no
Application code: 9336 (Nordic applicants).
- has basic knowledge about DNA and RNA structure, the central dogma, gene structure and control, and the tree of life and evolution.
- has basic knowledge about primary and secondary protein structure, and implications for bioinformatics.
- has insights into public databases, primary and secondary databases, file formats in bioinformatics and data quality.
- knows the principals of sequence alignments.
- has knowledge about pairwise sequence alignments and database similarity searching (BLAST and FASTA).
- has knowledge about local and global alignments, and the dot-plot and dynamic programming methods.
- has knowledge about patterns, profiles and multiple sequence alignments (progressive alignment method, Clustal, T-Coffee, iterative methods).
- knows about protein motif and domain databases (Pfam, InterPro), and sequence logos.
- has background knowledge on mechanisms of mutations and evolutionary prodesses
- has background knowledge about principals for inferring phylogenies.
- has knowledge into basic principles of structure and interpretation of phylogenetic trees.
- has knowledge about how to reconstruct phylogenetic trees.
Next-generation DNA sequencing (NGS) and informatics:
- has knowledge about the history of DNA sequencing and its experimental applications.
- knows about early bioinformatics methods.
- has knowledge about how to visualize NGS data.
- has knowledge about general genome features.
- knows how to predict genes, splice sites, promoters.
- has knowledge about detection of genes, introns/exons.
- can describe the basic properties of DNA, RNA and protein. Explain the central dogma, and is able to outline structures and types of biological databases.
- can score alignments, use search tools, elaborate on substitution scoring matrices, dynamic programming, profiles and hidden Markov models.
- can carry out phylogenetic analyses using different methods, test resulting trees using the bootstrapping method, and interpret the result.
- is able to recognize typical gene features and assign function to genes (genome annotation).
- can elaborate on different DNA sequencing methods (Sanger and NGS methods).
- can outline applications of sequencing and expression profiling techniques .
- can present academic material
- understands the relation between DNA, RNA and protein, and can use this information to discuss their function.
- can participate in discussions concerning bioinformatics with others.
- has the ability to plan and execute basic bioinformatics tasks; aligning and handling sequences, database searching, phylogenetic analysis, and basic annotation.
- can interpret and communicate scientific material on bioinformatics.
New book: Concepts in bioinformatics and genomics, Eds. Momand & McCurdy, 2017, Oxford University Press
Contact the course responsible for more information. Details of the course are given through Canvas, the new learning portal of the university. You must be a registered student for the course in order to gain access to Canvas.