Postgraduate Course: Functional Genomic Technologies (PGBI11040)

Course Outline
School	School of Biological Sciences	College	College of Science and Engineering
Credit level (Normal year taken)	SCQF Level 11 (Postgraduate)	Availability	Not available to visiting students
SCQF Credits	10	ECTS Credits	5
Summary	This 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 ż Analysis of gene expression microarray data ż Digital transcriptomics (SAGE, HTP sequencing) ż Genome-scale TF binding analysis, Encode project genome re-sequencing and ChIP-seq ż Epigenetic profiling, methylation, histone modification, applications in understanding disease and development using Illumina sequencing ż SNP analysis, aCGH, żfinding cancer genesż ż Proteomics, Mass Spec, DIGE ż Integrative data analysis & data management, applications to cancer biology, links to systems biology ż 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 2017/18, 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: demonstrate an understanding of the emerging technologies and how they can be applied to address biological questions. design experiments, interpret & analyse data generated from key technologies. assess the strengths and weaknesses of each technology and apply this knowledge when interpreting and analysing data