2017/18 Taught Postgraduate Module Catalogue

BIOL5274M High-throughput Technologies

10 creditsClass Size: 40

Module manager: Prof David Westhead
Email: d.r.westhead@leeds.ac.uk

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2017/18

Pre-requisite qualifications

biochemistry and molecular biology to undergraduate level. An appreciation of probability and statistics to a basic level.

Module replaces

BIOL5166M

This module is approved as an Elective

Module summary

The module is for students with a good knowledge of molecular biology and aims to provide an understanding of the use of high-throughput biomolecular data generation methods emphasising statistical and other skills needed to analyse this data. It will cover technologies for measuring gene expression and regulation (e.g. DNA microarrays, new generation sequencing).

Objectives

1. To make students aware of the range of experimental technologies and data analysis methods associated with 'genome scale' investigations of gene sequences, and gene and protein regulation and expression.
2. To provide experience of analysing this type of data, and to encourage understanding of the statistical principles involved.

Learning outcomes
1. The understanding of, and ability to use, basic univariate and multivariate statistical methods applicable to large scale genomic and proteomic data.
2. Appreciation of the range of experimental technologies employed (including sequencing, DNA microarrays, mass spectrometry etc.)
3. The ability to carry out statistical analysis of large scale data in sophisticated statistical software packages (e.g. R).
4. The ability to understand research papers in this area.

Syllabus

Genomics, sequencing, DNA microarrays, gene expression measurement and differential expression calculations. Using the R statistical package to analyse biomolecular data. Univariate statistical methods (t-tests, linear regression, ANOVA, general linear modelling, bootstrap and randomisation methods). Multivariate methods (clustering, PCA).

Teaching methods

Delivery type	Number	Length hours	Student hours
Lecture	5	1.00	5.00
Practical	2	3.00	6.00
Seminar	3	3.00	9.00
Private study hours			80.00
Total Contact hours			20.00
Total hours (100hr per 10 credits)			100.00

Private study

Private study will be preparation for the seminars and work on the assessments.

Opportunities for Formative Feedback

Seminars will occur weekly and progress monitored.
Practicals will occur fortnightly and progress monitored.

Methods of assessment

Coursework

Assessment type	Notes	% of formal assessment
Essay	.	60.00
Practical	.	0.00
Tutorial Performance	Tutorial Problem sheet	40.00
Total percentage (Assessment Coursework)		100.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Reading list

The reading list is available from the Library website

Last updated: 06/11/2017

Disclaimer

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