course-details-portlet

MOL8008

Bioinformatics Methods for next Generation Sequencing Analysis

Choose study year
Credits 7.5
Level Doctoral degree level
Course start Autumn 2024
Duration 1 semester
Language of instruction English
Location Trondheim
Examination arrangement Home examination

About

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:

  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 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.

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

Contact information

Course coordinator

Lecturers

Department with academic responsibility

Department of Clinical and Molecular Medicine