Genome Science

This advanced course focuses on the practical computational skills needed to extract biological information from the genome and associated ‘omics systems, including transcriptomes, metagenomes and comparative genomics. Delivered via tutorials and hands-on activities, the course is assessed solely through practical assignments and spans topics including the dynamic nature of the genome through to sequence analysis, curation, annotation and data visualization. This introduction to computational analysis is geared towards biologists and assumes no previous knowledge or familiarity with computational methods.

Course code

Qualifications are made up of courses. Some universities call these papers. Each course is numbered using six digits.



The fourth number of the course code shows the level of the course. For example, in course 219206, the fourth number is a 2, so it is a 200-level course (usually studied in the second year of full-time study).



Each course is worth a number of credits. You combine courses (credits) to meet the total number of credits needed for your qualification.




Course planning information

Course notes

All assessments are compulsory. Attendance at all laboratory classes is compulsory.

Prerequisite courses

Complete first

You need to complete the above course or courses before moving onto this one.


Similar content
203328 and 203341

You cannot enrol in this course if you have passed (or are enrolled in) any of the course(s) above as these courses have similar content or content at a higher level.

General progression requirements

You must complete at least 45 credits from 200-level before enrolling in 300-level courses.

Learning outcomes

What you will learn. Knowledge, skills and attitudes you’ll be able to show as a result of successfully finishing this course.

  • 1 Perform genome analysis and discuss genomes as dynamic entities.
  • 2 Critically analyse the fast-moving nature of the field and use the primary literature to find recent advances in genomic research.
  • 3 Explain the full pathway of analysis from experimental design and sample isolation through to the analysis of genomic sequences.
  • 4 Explain the power of comparative methods for investigating and annotating complex and large data sets.
  • 5 Perform advanced computational biology techniques related to sequence analysis.
  • 6 Perform data visualisation and apply these aids to communicate scientific information.

Learning outcomes can change before the start of the semester you are studying the course in.


Assessment Learning outcomes assessed Weighting
Written Assignment 1 2 15%
Test 3 5 15%
Test 3 5 20%
Portfolio 1 4 5 20%
Test 4 5 15%
Test 1 2 3 6 15%
Participation 1 4 5 6 0%

Assessment weightings can change up to the start of the semester the course is delivered in.

You may need to take more assessments depending on where, how, and when you choose to take this course.

Explanation of assessment types

Computer programmes
Computer animation and screening, design, programming, models and other computer work.
Creative compositions
Animations, films, models, textiles, websites, and other compositions.
Exam College or GRS-based (not centrally scheduled)
An exam scheduled by a college or the Graduate Research School (GRS). The exam could be online, oral, field, practical skills, written exams or another format.
Exam (centrally scheduled)
An exam scheduled by Assessment Services (centrally) – you’ll usually be told when and where the exam is through the student portal.
Oral or performance or presentation
Debates, demonstrations, exhibitions, interviews, oral proposals, role play, speech and other performances or presentations.
You may be assessed on your participation in activities such as online fora, laboratories, debates, tutorials, exercises, seminars, and so on.
Creative, learning, online, narrative, photographic, written, and other portfolios.
Practical or placement
Field trips, field work, placements, seminars, workshops, voluntary work, and other activities.
Technology-based or experience-based simulations.
Laboratory, online, multi-choice, short answer, spoken, and other tests – arranged by the school.
Written assignment
Essays, group or individual projects, proposals, reports, reviews, writing exercises, and other written assignments.

Textbooks needed

There are no set texts for this course.