Course - Bioinformatics Methods for next Generation Sequencing Analysis - MOL8008
MOL8008 - Bioinformatics Methods for next Generation Sequencing Analysis
About
Examination arrangement
Examination arrangement: Home examination
Grade: Passed/Failed
| Evaluation form | Weighting | Duration | Examination aids | Grade deviation |
|---|---|---|---|---|
| Home examination | 100/100 |
Course content
The course will introduce bioinformatic approaches, tools and pipelines for computational analyses of Next Generation Sequencing (NGS) data. Focus will be on analysis methods for coding and non-coding RNA from RNA-seq, and transcription factors and epigenetic markers from ChIP-Seq. The course will cover strategies, methods and workflows used for analyses of such data, including mapping to reference genomes, feature extraction, and statistical analysis. In addition, the biological interpretation of output from such analyses will be presented as case studies from scientific journals.
Learning outcome
After completing the course the student should be able to:
1. Create and use an analysis pipeline for topics introduced
2. Understand the bioinformatics approaches used for different tasks in NGS
3. Have an overview of the type of biological questions that are typically assessed using NGS
4. Assist in the design and implementation of an experiment using NGS at their own facility
Learning methods and activities
There will be a one week intensive period of lecturing, followed by a period of self-study and project work. The students will then meet again for presentation of their project work. The exam will be on a pass/fail basis based on the evaluation of their project work.
Compulsory assignments
- Attendance in lectures
- Presentation
Further on evaluation
Retake of exam: If the student has participated in the intensive course week with lectures and exercises, the student can submit a new project report for assessment the following year without participating in the intensive course week.
Specific conditions
Exam registration requires that class registration is approved in the same semester. Compulsory activities from previous semester may be approved by the department.
Recommended previous knowledge
Attending students should be familiar with basic high-level programming of scripting languages like Python, R and Matlab. Some basic knowledge in applied bioinformatics is recommended.
Required previous knowledge
Masters degree in relevant programmes. Medical Doctors degree. Or medical students at The Student Research Programme. Candidates with other or lower degree will be assessed individually.
Course materials
Scientific publications. Handouts of presentations.
No
Version: 1
Credits:
7.5 SP
Study level: Doctoral degree level
Term no.: 1
Teaching semester: AUTUMN 2020
Language of instruction: English
Location: Trondheim
- Molecular Medicine
- Medical Technology
- Bioinformatics
Department with academic responsibility
Department of Clinical and Molecular Medicine
Phone:
Examination
Examination arrangement: Home examination
- Term Status code Evaluation form Weighting Examination aids Date Time Digital exam Room *
- Autumn ORD Home examination 100/100 INSPERA
-
Room Building Number of candidates - Spring ORD Home examination 100/100 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"