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Current postgraduate taught students

COMP60532: Principles of Digital Biology (2012-2013)

This is an archived syllabus from 2012-2013

Principles of Digital Biology
Level: 6
Credit rating: 15
Pre-requisites: A knowledge of modern biology is not a course prerequisite.
Co-requisites: No Co-requisites
Lectures: 1 day per week (5 weeks)
Course Leader: Andrew Brass
Additional Lecturers: Robert Stevens
Course leader: Andrew Brass

Additional staff: view all staff
Timetable
SemesterEventLocationDayTimeGroup
Sem 2 P3 Lecture 2.15 Thu 09:00 - 17:00 -
Assessment Breakdown
Exam: 0%
Coursework: 100%
Lab: 0%

Themes to which this unit belongs
  • Biohealth Informatics
  • Computer Science units for ACSwITM students (semester 2)

Introduction

Biology is currently undergoing a revolution. The success of the human genome project and other high-throughput technologies is creating a flood of new data. Capturing, interpreting and analysing this data provides real and significant challenges for computer scientists. This course will use biology as an exciting application domain for a wide range of CS techniques that have been developed on the course.
The course is organised in 4 sections:
1. basic introduction to modern biology and bioinformatics
2. data capture
3. data delivery
4. data analysis
Each section will commence with a short taught component delivered as research seminars. Assessments will be based on a short written report and presentations based on a case study that will be introduced at the start of the course.

Programme outcomeUnit learning outcomesAssessment
G5A basic understanding of the computational needs of modern biology.
  • Presentation
  • Case Study Report
G5Developed an understanding of the problems inherent in communicating with scientists from a different discipline.
  • Case Study Report
  • Presentation
G5Developed the ability to reflect upon and synthesize a range of computational techniques to develop effective problem solving strategies in an unfamiliar problem domain.
  • Presentation
  • Case Study Report
G5Developed the ability to communicate these strategies to non-specialists.
  • Case Study Report
  • Presentation

Syllabus

Intro to Biology
Intro to Biology - the central dogma (2 hours)
Intro to genomics (2 hours)
Biology databases (2 hours)
Data capture
capturing microarray data (1 hour)
proteomics seminar (1 hour)
the gene ontology (1 hour)
resource meta-data (1 hour)
Data delivery
HCI and bioinformatics (2 hours)
Dealing with heterogeneous, distributed data. (2 hours)
bioinformatics and the grid (2 hours)
Data analysis
Integrated approaches to post-genome data (2 hours)