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MB5021: BIOINFORMATICS (2018-2019)

Last modified: 22 May 2019 17:07

Course Overview

A course containing a series of lectures describing 'latest-methods and discoveries' in areas of bioinformatics and functional genomics including transcriptomics, proteomics, and DNA sequence analysis

Contains an extended research practical; you carry out computer analysis of transcriptome datasets to understand how cells respond to starvation stress, and write up in research paper format.

Contains a series of in-depth workshops that teach the principles and practice of DNA and protein sequence analysis. 

Course Details

Study Type Postgraduate Level 5
Session First Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus None. Sustained Study No
  • Professor Ian Stansfield

What courses & programmes must have been taken before this course?

  • One of MRes Medical Mycology and Fungal Immunology or Master Of Science In Genetics And Human Nutrition or Master Of Science In Molecular Medicine or Master Of Research In Medical Mycology For Clinicians or MSc Immunology or Master Of Science In Immunology And Immunotherapy or Master Of Science In Biotechnology, Bioinformatics And Bio-Business or Master Of Research In Medical Sciences or Master Of Science In Reproductive And Developmental Biology or MSc Genetics or MSc Microbiology or Master Of Science In Industrial Biotechnology

What other courses must be taken with this course?


What courses cannot be taken with this course?


Are there a limited number of places available?


Course Description

This course focuses initially on an understanding of how modern-day genome sequencing and comparative genome analysis is carried out. Computer workshops will illustrate how comparative genome analysis can be carried out. Following this, courses on functional genomics show how high throughput techniques aid in the indentification of gene function on a genome-wide basis. The vast datasets that result are challenging to analyse and integrate; through computer workshops, genome-wide data analysis will be carried out to show how information from multiple data sources can be integrated in the study of gene function.

In light of Covid-19 this information is indicative and may be subject to change.

Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

  • 1 Computer Practical during University weeks 12 - 14
  • 2 Lectures during University weeks 9 - 10
  • 3 Lectures during University weeks 11, 14 - 15
  • 5 Lectures during University weeks 12 - 13
  • 1 Lecture during University week16
  • 2 Workshops during University weeks 12 - 14
  • 1 Workshop during University weeks 15 - 16

More Information about Week Numbers

In light of Covid-19 and the move to blended learning delivery the assessment information advertised for second half-session courses may be subject to change. All updates for second-half session courses will be actioned in advance of the second half-session teaching starting. Please check back regularly for updates.

Summative Assessments

Essay/problem-based questions examination (20%); and in-course data handling assessment (80%).

Formative Assessment

There are no assessments for this course.



Course Learning Outcomes


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