THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2016/2017

University Homepage
DRPS Homepage
DRPS Search
DRPS Contact
DRPS : Course Catalogue : School of Biological Sciences : Postgraduate

Postgraduate Course: Functional Genomic Technologies (PGBI11040)

Course Outline
SchoolSchool of Biological Sciences CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityNot available to visiting students
SCQF Credits10 ECTS Credits5
SummaryThis course provides an introduction to functional genomic high-throughput te and emphasises the application of these technologies, data analysis and experimental design. The technologies covered by the course include microarray gene expression, RNA-seq and ChIP-seq sequencing technologies, genotyping techniques such as SNP and aCGH and an outline of proteomic methods. Genome sequencing has already revolutionised biology and medicine, but we are still at the early stages of understanding how this sequence is interpreted to produce a functioning biological organism. Just as genomic sequencing would not have been possible without the development of high-throughput sequencers so the quest to understand the functioning of the genome requires the development of a whole new set of technologies.
FGT is about these emerging technologies and the new challenges and opportunities they present to bioinformatics

The practical sessions of the course will concentrate on the analysis of data from each platform using the R programming language and tools from the Bioconductor suite. This session is taught using Unix servers and assumes no prior knowledge.
Course description Topics will include
┐ Analysis of gene expression microarray data
┐ Digital transcriptomics (SAGE, HTP sequencing)
┐ Genome-scale TF binding analysis, Encode project genome re-sequencing and ChIP-seq
┐ Epigenetic profiling, methylation, histone modification, applications in understanding disease and development using Illumina sequencing
┐ SNP analysis, aCGH, ┐finding cancer genes┐
┐ Proteomics, Mass Spec, DIGE
┐ Integrative data analysis & data management, applications to cancer biology, links to systems biology
┐ Emerging technologies- including new platforms and single-cell sequencing
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Course Delivery Information
Academic year 2016/17, Not available to visiting students (SS1) Quota:  45
Course Start Semester 2
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 20, Supervised Practical/Workshop/Studio Hours 10, Summative Assessment Hours 2, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 66 )
Assessment (Further Info) Written Exam 80 %, Coursework 20 %, Practical Exam 0 %
Additional Information (Assessment) Written examination will account for 80% and assignments 20%.
Feedback Not entered
Exam Information
Exam Diet Paper Name Hours & Minutes
Main Exam Diet S2 (April/May)2:00
Learning Outcomes
On completion of this course, the student will be able to:
  1. demonstrate an understanding of the emerging technologies and how they can be applied to address biological questions.
  2. design experiments, interpret & analyse data generated from key technologies.
  3. assess the strengths and weaknesses of each technology and apply this knowledge when interpreting and analysing data
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
KeywordsFGT
Contacts
Course organiserDr Simon Tomlinson
Tel: (0131 6)51 7252
Email: simon.tomlinson@ed.ac.uk
Course secretaryMiss Emma Currie
Tel: (0131 6)50 5988
Email: Emma.Currie@ed.ac.uk
Navigation
Help & Information
Home
Introduction
Glossary
Search DPTs and Courses
Regulations
Regulations
Degree Programmes
Introduction
Browse DPTs
Courses
Introduction
Humanities and Social Science
Science and Engineering
Medicine and Veterinary Medicine
Other Information
Combined Course Timetable
Prospectuses
Important Information
 
© Copyright 2016 The University of Edinburgh - 3 February 2017 4:51 am