course-details-portlet

MOL8008

Bioinformatics Methods for next Generation Sequencing Analysis

Choose study year
Credits 7.5
Level Doctoral degree level
Course start Autumn 2025
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

Knowledge

  • Explain the basic mechanisms of transcription, gene regulation and miRNA regulation
  • Describe the concept behind Next Generation sequencing methods for RNA-Seq, ChIP-Seq and miRNA-Seq
  • Describe the basic bioinformatics workflows for RNA-Seq (including isoform analysis), ChIP-Seq and miRNA-Seq

Skills

  • Setup and run a NGS processing pipeline for analysis of sequencing data
  • Interpretate results from NGS analysis using basics statistics and standard online bioinformatics tools
  • Present setup and results from an NGS data analysis project in form of a Scientific Paper

Competence

  • Recognise what types of research questions that can addressed by NGS analysis
  • Assist in design and implementation of an NGS experiment in the participants own workplace or research facility.
  • Conduct and explain analysis of NGS data from a hypothesis driven standpoint and an explorative standpoint

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

Attendance of at least 80% of the lectures is mandatory in order to take the exam.

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

Examination

Examination

Examination arrangement: Home examination
Grade: Passed / Not Passed

Ordinary examination - Autumn 2025

Home examination
Weighting 100/100 Examination aids Code A Exam system Inspera Assessment

Re-sit examination - Spring 2026

Home examination
Weighting 100/100 Examination aids Code A Exam system Inspera Assessment