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Syllabus:

Applied Functional Genomics, 7.5 Credits

The course is discontinued

Swedish name: Tillämpad funktionsgenomik T

This syllabus is valid: 2014-01-20 and until further notice

Course code: 5BI055

Credit points: 7.5

Education level: Second cycle

Main Field of Study and progress level: Molecular Biology: Second cycle, has only first-cycle course/s as entry requirements

Grading scale: Two-grade scale

Responsible department: Department of Plant Physiology

Revised by: Faculty Board of Science and Technology, 2019-06-04

Contents

The course is based on the theoretical course Functional Genomics T, 7.5hp (5BI056). The course aims to provide an introduction to the application of modern techniques of functional genomics. The course is project based and the students will gain practical insight and experience in how to perform analyses of large-scale datasets generated using either sequencing, proteomics or metabolomics methods.

Expected learning outcomes

After completing the course, students should be able to

  • Understand and describe the concepts of genomics, proteomics, metabolomics
  • Know how to extract and perform quality controls check for DNA, RNA, proteins and metabolites
  • Understand the principles behind performing proteomic and metabolomic analyses including sample preparation, separation and identification
  • Describe the general principles of identifying differentially expressed genes, proteins and metabolites
  • Understand how to perform and visualize quality control checks of large-scale datasets
  • Describe the difficulties and solutions for the visualization of large-scale data.
  • Describe how to work with a model system to clarify the specific gene or protein function in the organism

Required Knowledge

Functional Genomics Theory 7.5 ECTS-credits

Form of instruction

The course is divided into two parts. At the start all students work together to learn techniques for sample preparation and quality control. The second part of the course involves working in groups of 2-3 to perform analysis of either a genomics, proteomics or metabolomics dataset. Students will learn how to quality control check and analyze the data including identifying genes/proteins/metabolites of interest and how to obtain functional insight into their potential role. The analysis will include visualization and statistical assessment. Students set their own working schedule for the group work but teachers are available when requested to offer guidance, advice and training.

Examination modes

The course is examined by a written report in the style of a short scientific paper and a mandatory oral presentation. Each group produces a single written report and oral presentation and both must be in English. All members of a group are assigned the same grade.

The grades given are Fail (U), Pass (G) or pass with distinction (VG). Students who fail are entitled to retake the examination to obtain a passing grade - but in this case all members of a group must be included in the retake. Anyone who has passed an examination may not retake the test for higher grade.

Literature

The literature list is not available through the web. Please contact the faculty.