Postgraduate Course: Environmental Gene-Mining and Metagenomics (PGBI11097)
|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||The course will provide lecture-based instruction in the field of environmental metagenomic analysis, practical instruction in contamination-free environmental sediment sampling via a field excursion using state-of-the-art bioinformatics packages.
Entry Requirements (not applicable to Visiting Students)
||Other requirements|| None
Course Delivery Information
|Academic year 2016/17, Not available to visiting students (SS1)
|Learning and Teaching activities (Further Info)
Lecture Hours 3,
Supervised Practical/Workshop/Studio Hours 30,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
|Assessment (Further Info)
|No Exam Information
On completion of this course, the student will be able to:
- Demonstrate advanced knowledge of the importance of gene-mining and metagenomics to biotechnology
- Understand how environmental samples can be collected and analysed in order to investigate their potential for the isolation of novel organisms and functions
- Know how to analyse an environmental sample using molecular techniques to detect novel microbial communities, species and gene function
- Understand the basis of next-generation sequencing technologies and how to apply them to marker gene and metagenomic analysis
- Be able to produce a report from in the style of submission to a company management board describing the activities of the company's R & D department
|Graduate Attributes and Skills
||PCR and whole-genome amplification under clean conditions.
Preparation of samples for next-generation DNA sequencing.
DNA fingerprinting of marker genes.
Cloning and Sanger sequencing of environmental DNA fragments.
Analysis of next-generation marker gene sequence data using bioinformatics pipelines.
Assembly and annotation of next-generation metagenome sequence data.
Functional prediction of metagenomic potential from marker gene surveys.
|Course organiser||Dr Andrew Free
Tel: (0131 6)50 5338
|Course secretary||Ms Andrea Nichol
Tel: (0131 6)50 8643
© Copyright 2016 The University of Edinburgh - 3 February 2017 4:52 am