Course - An introduction to Next Generation Sequencing (NGS) - MOL8012
MOL8012 - An introduction to Next Generation Sequencing (NGS)
About
Examination arrangement
Examination arrangement: School exam
Grade: Passed / Not Passed
Evaluation | Weighting | Duration | Grade deviation | Examination aids |
---|---|---|---|---|
School exam | 100/100 | 4 hours | D |
Course content
This course will introduce general concepts, technology and methods in genomics, with a major focus on Next Generation Sequencing (NGS). NGS is a revolutionary technology that provides biologists and medical scientists with the ability to collect and analyze massive amounts of DNA and RNA sequences. This technology is an important research tool in many aspects of biology and medicine, because it can be applied in so many ways. Topics will cover, sample handling, NGS technology and DNA/RNA Sequencing applications/protocol. Relevant bioinformatics, related to study design, data prepossessing and analysis (statistical methods, databases for storage and post analysis).
Learning outcome
After completing the course, the student...
- is familiar with molecular and bioinformatics principles for NGS
- is familiar with commonly used technologies for NGS (e.g. DNA/RNA sequencing)
- is familiar with commonly used data formats and bioinformatics methods for analysis of NGS data
- is able to collaborate with bioinformatics specialists in the analysis of datasets from NGS
- can assess the use of NGS in a research project
- is able to critically assess the results from a successfully performed NGS experiment
Learning methods and activities
Supervised self-tuition, lectures, laboratory lectures, laboratory exercises, bioinformatics exercises, semester assignment (term paper) and exam.
If less than 5 students sign up for the course, learning methods and activities might be changed, or the course might be canceled.
Compulsory assignments
- All lectures and excercises
- Semester paper
Further on evaluation
Retake of exam: The student must have completed the mandatory activities and assignments to take the exam. If taken in a previous semester, this is sufficient to take the exam. If few students register for the exam, examination form can be changed.
Recommended previous knowledge
Basic knowledge in molecular biology, molecular cell biology and data analysis equivalent to MOL4010, BI1001, BI1005, BI2012, BI2014, BI3016, MA0301, ST1201, ST1101, IT1103, IT1105 (TDT4120), TDT4145, TKJ4175, BT8102.
Required previous knowledge
Admission requirements: Master's Degree or similar, Medical students at the Student Research Programme, other candidates with a lower degree will be individually evaluated.
No
Version: 1
Credits:
7.5 SP
Study level: Doctoral degree level
Term no.: 1
Teaching semester: AUTUMN 2023
Language of instruction: English
Location: Trondheim
- Molecular Medicine
- Computer Systems
- Bioinformatics
- Cell Biology
- Medicine
Department with academic responsibility
Department of Clinical and Molecular Medicine
Examination
Examination arrangement: School exam
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn ORD School exam 100/100 D 2023-11-24 09:00 INSPERA
-
Room Building Number of candidates SL311 orange sone Sluppenvegen 14 7 - Spring ORD School exam 100/100 D INSPERA
-
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"