Course

Bioinformatics (BIO510)

Facts

Course code BIO510

Credits (ECTS) 10

Semester tution start Spring

Language of instruction English

Number of semesters 1

Exam semester Spring

Time table View course schedule

Literature Search for literature in Leganto

Introduction

This course provides a comprehensive overview of applied bioinformatics and programming, encompassing various key topics. These include access to bioinformatic databases; data analysis with help of sequence alignments and phylogenetic analysis; primer design for PCR, metabolomics data analysis. Furthermore, students will learn using Python programming for bioinformaitcs. Machine learning and AI are included in the course.

Content

NB! This is an elective course and may be cancelled if fewer than 10 students are enrolled by January 20th for the spring semester.

The course covers the following subjects in applied bioinformatics: gene/protein/metabolite databases, local and global multiple sequence alignments, construction of phylogenetic trees, sequence analysis tools, primer construction for PCR/RT-PCR (QPCR), metabolomics data analysis, basic use of FTP, HTTP protocols, and introduction to Python programming for bioinformatics. Data analysis, simulations, visualization techniques, and artificial intelligence (AI) applications are included.

Learning outcome

Learning objectives:

  • To get a good overview of important bioinformatics tools (sequence alignments, construction of phylogenetic trees, sequence analysis tools, metabolomics data analysis)
  • To be able to use major bioinformatics software and databases
  • To learn primer construction for PCR
  • To learn basic programming for bioinformatic purposes.
  • To get an introduction to machine learning
  • To learn about Artificial intelligence (AI) applications.

Required prerequisite knowledge

None

Recommended prerequisites

Cell Biology (BIO100), Biochemistry (BIO200)
Basic knowedge in molecular biology and biochemistry and computational skills are beneficial for completion of this course.

Exam

Written exam

Weight 1/1

Duration 4 Hours

Marks Letter grades

Aid None permitted

Written digital exam in Inspera.

Coursework requirements

3 home assignments

The course includes the following compulsory elements:

  • Three home assignments. Approved assignments are required to qualify for the final assignment.
  • 80% attendance at scheduled teaching hours is required to qualify for the final assignment.

Method of work

2 hours lectures and 2 hours practical computer exercises per week.

Overlapping courses

Course Reduction (SP)
Bioinformatics (BIO510_1) , Bioinformatics (MOT290_1) 10

Open for

If the number of participants needs to be limited, priority will be given to Master students in Biological Chemistry.

Admission requirements

A completed bachelor’s degree

Admission to this master's programme requires a minimum grade average comparable to a Norwegian C (according to ECTS Standards) in your bachelor's degree.

Course assessment

The faculty decides whether early dialogue will be held in all courses or in selected groups of courses. The aim is to collect student feedback for improvements during the semester. In addition, a digital course evaluation must be conducted at least every three years to gather students’ experiences.

Contact

Coordinator laboratory exercises:
Liv Margareth Aksland
Head of Department:
Päivi Annele Teivainen-Lædre
Course coordinator:
Daniela Maria Pampanin
Study Program Director:
Daniela Maria Pampanin
Course teacher:
Florenc Demrozi
Course teacher:
Klevia Dishnica

Offered by

Faculty of Science and Technology

Department of Chemistry, Bioscience and Environmental Engineering

The course description is retrieved from FS (Felles studentsystem). Version 1