Course - Bioinformatics Methods for next Generation Sequencing Analysis - MOL8008
Bioinformatics Methods for next Generation Sequencing Analysis
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About the course
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:
- Create and use an analysis pipeline for topics introduced
- Understand the bioinformatics approaches used for different tasks in NGS
- Have an overview of the type of biological questions that are typically assessed using NGS
- 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 exam will be on a pass/fail basis based on the evaluation of their project work.
Compulsory assignments
- Attendance in lectures
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.
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.
Subject areas
- Molecular Medicine
- Medical Technology
- Bioinformatics