Genomics and Bioinformatics


Content, progress and pedagogy of the module

Learning objectives


Students who have passed the module should be able to

  • account for the structure, structural elements and elements of evolution of genomes
  • account for commonly used databases, search and visualization tools
  • account for genotype/phenotype relationship
  • describe homology of genomes and speciation – theory, tools and limitations
  • account for and argue for choice of data mining algorithms
  • provide overview of important public databases


  • conduct de novo assembly of genomes
  • conduct resequencing of genomes
  • detect genomic variants
  • carry out enome annotation, gene, repeat etc. prediction.
  • carry out Functional annotation using public databases
  • perform genome wide association analysis
  • perform transcriptome analysis
  • use predictive algorithms


  • make correct interpretations of complex genomic data and hypothesis driven experimental designs

Type of instruction

Thematic workshops based on small online topic based talks, but with strong element of topic resolved theoretical exercises and student presentations.

Extent and expected workload

150 hours



Name of examGenomics and Bioinformatics
Type of exam
Written or oral exam
Assessment7-point grading scale
Type of gradingInternal examination
Criteria of assessmentThe criteria of assessment are stated in the Examination Policies and Procedures

Facts about the module

Danish titleGenomik og bioinformatik
Module codeK-BT-K1-61
Module typeCourse
Duration1 semester
Language of instructionEnglish
Empty-place SchemeYes
Location of the lectureCampus Aalborg
Responsible for the module


Education ownerMaster of Science (MSc) in Engineering (Biotechnology)
Study BoardStudy Board of Chemistry and Bioscience
DepartmentDepartment of Chemistry and Bioscience
FacultyThe Faculty of Engineering and Science