Bioinformatics and Genomics - BI638

Looking for a different module?

Module delivery information

Location Term Level1 Credits (ECTS)2 Current Convenor3 2020 to 2021
Canterbury
Autumn 6 15 (7.5) DR M Wass checkmark-circle

Overview

Bioinformatics Data sources & Sequence analysis: Databases and data availability. Using sequence data for analysis – sequence searching methods, multiple sequence alignments, residue conservation, Protein domains and families.

Protein Bioinformatics Methods: Protein structure and function prediction. Prediction of binding sites/interfaces with small ligands and with other proteins. Bioinformatics analyses using protein data.

Genomics: An introduction to the analysis of genomic data, primarily focussing on the data available from genome sequencing – how it can be used to study genetic variants and compare genomes (i.e. comparative and functional genomics).

Details

This module appears in the following module collections.

Contact hours

Total contact hours: 32
Private study hours: 118
Total study hours: 150

Method of assessment

Main assessment methods
Workshop (20% - short answer questions)
Assignment (80% - 2000 words)

Indicative reading

• Lesk A, Introduction to Bioinformatics, 4th Edition, Oxford University Press, 2014
• Lesk A, Introduction to Genomics, 3rd Edition, OUP, 2017

Additionally selected peer-reviewed research and review papers will be recommended.

See the library reading list for this module (Canterbury)

Learning outcomes

The intended subject specific learning outcomes.
On successfully completing the module students will be able to:
• Use DNA/protein databases, sequence searching methods, generate multiple sequence alignments, analyse residue conservation.
• Use bioinformatics methods to analyse and model protein structure, function and interactions with small ligands and with other proteins.
• Understand genomics approaches including – genome sequencing, comparative and functional genomics.

The intended generic learning outcomes.
On successfully completing the module students will be able to use:
• Bioinformatics skills for data retrieval and analysis across the biosciences' disciplines. Data retrieval/analysis are generic to all numerate subjects.
• Transferable skills including written communication (technical reports and a coursework project).
• Analytical skills including analysis and presentation of data, writing of reports and a project (coursework).

Notes

  1. Credit level 6. Higher level module usually taken in Stage 3 of an undergraduate degree.
  2. ECTS credits are recognised throughout the EU and allow you to transfer credit easily from one university to another.
  3. The named convenor is the convenor for the current academic session.
Back to top

University of Kent makes every effort to ensure that module information is accurate for the relevant academic session and to provide educational services as described. However, courses, services and other matters may be subject to change. Please read our full disclaimer.