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 genomics 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. |
Course description |
Topics will include:
¿ Exon arrays, technology/applications/bioinformatics
¿ Digital transcriptomics (SAGE, HTP sequencing), and the ¿$1000 genome¿
¿ Genome-scale TF binding analysis, Chip-Chip, Encode project genome re-sequencing and Chip on Solexa and 454 sequencing
¿ Epigenetic profiling, methylation, histone modification, applications in understanding disease and development inc Solexa
¿ SNP analysis, aCGH, ¿finding cancer genes¿
¿ Proteomics, Mass Spec, DIGE
¿ Integrative data analysis & data management, applications to cancer biology, links to systems biology
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Entry Requirements (not applicable to Visiting Students)
Pre-requisites |
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Co-requisites | |
Prohibited Combinations | |
Other requirements | None |
Course Delivery Information
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Academic year 2015/16, Not available to visiting students (SS1)
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Quota: None |
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 )
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Assessment (Further Info) |
Written Exam
80 %,
Coursework
20 %,
Practical Exam
0 %
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Additional Information (Assessment) |
Written examination will account for 80% and assignments 20%. |
Feedback |
Not entered |
Exam Information |
Exam Diet |
Paper Name |
Hours & Minutes |
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Main Exam Diet S2 (April/May) | | 2:00 | |
Learning Outcomes
After completing this course, students should 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
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Additional Information
Graduate Attributes and Skills |
Not entered |
Keywords | FGT |
Contacts
Course organiser | Dr Simon Tomlinson
Tel: (0131 6)51 7252
Email: |
Course secretary | Miss Vicky Mactaggart
Tel: (0131 6)51 7052
Email: |
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© Copyright 2015 The University of Edinburgh - 27 July 2015 11:41 am
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