Bioinformatics (BIO510)
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 be introduced to markup languages such as HTML and LaTeX, and they will learn using Python programming for bioinformaitcs.
Course description for study year 2024-2025. Please note that changes may occur.
Course code
BIO510
Version
1
Credits (ECTS)
10
Semester tution start
Spring
Number of semesters
1
Exam semester
Spring
Language of instruction
English
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, markup language (HTML, LaTeX), and introduction to Python programming for bioinformatics.
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 obtain basic knowledge in internet protocols (FTP, HTTP) and markup laguage (HTML, LaTeX)
- To learn primer construction for PCR
- To learn basic programming for bioinformatic purposes.
Required prerequisite knowledge
Recommended prerequisites
Exam
Form of assessment | Weight | Duration | Marks | Aid |
---|---|---|---|---|
Written assignment (Home exam) | 1/1 | 2 Weeks | Letter grades |
Individual assignment. No resit options are offered on the assignment. Students who do not pass can retake this the next time the course is offered.
Coursework requirements
The course includes the following compulsory elements:
- Two compulsory submissions and a group assignment. Approved assignments are required to qualify for the written exam.
- 80% attendance at scheduled teaching hours is required to qualify for the written exam.
Course teacher(s)
Course coordinator:
Daniela Maria PampaninHead of Department:
Päivi Annele Teivainen-LædreStudy Program Director:
Mark van der GiezenCoordinator laboratory exercises:
Liv Margareth AkslandMethod of work
Overlapping courses
Course | Reduction (SP) |
---|---|
Bioinformatics (MOT290_1) | 10 |