course-details-portlet

MOL8008 - Bioinformatics Methods for next Generation Sequencing Analysis

About

Examination arrangement

Examination arrangement: Home examination
Grade: Passed / Not Passed

Evaluation Weighting Duration Grade deviation Examination aids
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 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.

More on the course

No

Facts

Version: 1
Credits:  7.5 SP
Study level: Doctoral degree level

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2023

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Molecular Medicine
  • Medical Technology
  • Bioinformatics
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Clinical and Molecular Medicine

Timetable

List view
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Examination

Examination arrangement: Home examination

Term Status code Evaluation Weighting Examination aids Date Time Examination system 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.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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