Language: NOR | ENG
2020/2021

2BIO012 Bioinformatics/Biostatistics

Læringsutbytte

Learning outcomes

Upon successful completion of the course, the student will have achieved the following learning outcomes: 

 

Knowledge:

The Student

  • has advanced knowledge of topics, algorithms, tools and methods in the field of Bioinformatics
  • has knowledge of statistical methods for analysis of biological data

 

Skills:

The Student

  • can analyze and use bioinformatic methods associated with advanced sequence alignment, database searches, genome analysis and protein structural studies
  • can use statistical operations in biology

 

General competence:

The Student

  • can operate commonly used bioinformatics tools and understand their pros and cons
  • can statistically analyse data in a biologically relevant manner

Innhold

Content

Bioinformatics is a branch of science that uses computers for storage, retrieval, analysis, visualization and distribution of information related to biological macromolecules like DNA, RNA and proteins. It is an interdisciplinary field that includes biology, computer science, chemistry and statistics.

This course introduces key concepts and methods in bioinformatics. Major research topics in bioinformatics include sequence analysis structure analysis and functional analysis of biological data.

The course comprises two main parts:              

  1. A lecture-based part, introducing various web-based resources and bioinformatics tools for the analyses of DNA, RNA and protein sequences and lectures in elementary statistics.
  2. Computer lab, where students will be guided through practical bioinformatics and biostatistics exercises on the computer.

Topics covered include

–        Introduction to biological databases and database searching

–        Pairwise and multiple sequence alignment

–        Phylogenetic analysis

–        Protein structure modelling

–        Gene prediction

–        Basics of genome sequencing and genome assembly

–        Introduction to elemental statistical treatment of biological data

 

Arbeids- og undervisningsformer

Organization and Methods of Instruction

  • Lectures: Introductory lectures are given to provide an overview of the main topics in the course.
  • Computer Lab: Practical exercises throughout the whole semester where the students will conduct a series of adapted computer tools to solve bioinformatics tasks
  • Compulsory Assignment: Students in groups of 3-4 are to hand in a written report of an assigned bioinformatic problem
  • Fronter: All relevant course information and scientific articles in the syllabus will be posted on Fronter.

Obligatoriske krav som må være godkjent før eksamen kan avlegges

Requirements necessary to take the exam

  • Attendance to at least 80% of the Computer Lab exercises

Eksamen

 

 

Assessment

  • written individual report count 40% of the final grade
  • individual 4-hour written exam count 60% of the final grade

Both exams must be passed to receive a final grade.

The exam will be evaluated by letter grade, A-F, where E is the lowest passing grade