BT2100 - Computational Biotechnology


New from the academic year 2021/2022

Examination arrangement

Examination arrangement: Portfolio assessment
Grade: Letters

Evaluation Weighting Duration Grade deviation Examination aids
Group project II 25/100
Group project I 25/100
School exam 50/100 3 hours D

Course content

The goal of this course is to introduce the fields of bioinformatics and computational biology and prepare the students to perform computational tasks in a wide variety of biotechnological domains. The students will improve the general-purpose python programming skills obtained in the previous semester through biology-oriented exercises, such as accessing bioinformatics databases, processing experimental datasets, and building simple models of biological systems. Given that this field is still changing at a fast pace, we will focus on using well-established tools and resources that are likely to be relevant in the long term, such as those provided by the European Institute of Bioinformatics and the ELIXIR framework.   

Part I - From genes to functions 

  • The history of genome sequencing 
  • Methods for genome assembly 
  • Standard file formats and libraries 
  • Sequence alignments 
  • Building phylogenetic trees 
  • Functional annotation and ontologies 
  • Programmatic access to bioinformatic resources   

Part II - From functions to systems 

  • Experimental methods for cellular phenotyping 
  • Omics data (transcriptomics, proteomics, metabolomics) 
  • Integrating data and metadata 
  • Methods for normalization and visualization 
  • Modeling biological systems  

Learning outcome

  • The student has a general knowledge of the history of bioinformatics. 
  • The student understands the process of genome assembly and its limitations.  
  • The student can use available tools for genome assembly. 
  • The student understands the process of functional annotation and its limitations.  
  • The student can use available tools for functional annotation. 
  • The student is familiar with the main bioinformatics databases. 
  • The student can discover gene and protein functions from their sequences. 
  • The student has a general knowledge of high-throughput technologies. 
  • The student can explain the difference between different omics. 
  • The student understands the concept of data and metadata. 
  • The student can programmatically read and transform tabular datasets. 
  • The student can use available tools for data visualization. 
  • The student can explain what a model is, and what its limitations are. 
  • The student can load a model and run simulations with suitable software. 
  • The student can interpret simulation results and their biological meaning. 

Learning methods and activities

The course will consist of: 

  • Lectures: 3 h/week (theory and active discussion) 
  • Computer lab: 3 h/week (programming exercises) 
  • Projects and self-study: approx. 6 h/week  

Further on evaluation

The evaluation will consist of 2 components: 

  • Two group projects (2-3 people): Part I (25%) + Part II (25%)  
  • Final written exam: 50% of final grade 

Course materials

Will be given at the start of the course.

More on the course



Version: 1
Credits:  7.5 SP
Study level: Intermediate course, level II


Term no.: 1
Teaching semester:  SPRING 2022

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Biotechnology
Contact information
Course coordinator:

Department with academic responsibility
Department of Biotechnology and Food Science


Examination arrangement: Portfolio assessment

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Spring ORD School exam 50/100 D 2022-05-10 15:00 INSPERA
Room Building Number of candidates
Spring ORD Group project I 25/100
Room Building Number of candidates
Spring ORD Group project II 25/100
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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