Postgraduate Course: Functional Genomic Technologies (PGBI11040)
|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
|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.
Topics will include:
- Analysis of gene expression microarray data
- Digital transcriptomics (SAGE, RNA-seq)
- 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
- Outline of SNP analysis, aCGH, ¿finding cancer genes¿
- Proteomics, Mass Spec, DIGE
- Emerging technologies- including new platforms and single-cell sequencing
Entry Requirements (not applicable to Visiting Students)
||Other requirements|| None
Course Delivery Information
|Academic year 2022/23, Not available to visiting students (SS1)
|Learning and Teaching activities (Further Info)
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
|Assessment (Further Info)
|Additional Information (Assessment)
||Written examination will account for 50% and assignments 50%.
||Written feedback will be given for both the exam and ICA.
||Hours & Minutes
|Main Exam Diet S2 (April/May)||2:00|
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
|Graduate Attributes and Skills
|Course organiser||Dr Simon Tomlinson
Tel: (0131 6)51 7252
|Course secretary||Ms Louise Robertson
Tel: (0131 6)50 5988