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Module Title
LM Metabolomics and advanced (omics) technologies
School
School of Bioscience
Department
School of Biosciences
Module Code
02 29784
Module Lead
Ralf Weber
Level
Masters Level
Credits
20
Semester
Semester 2
Pre-requisites
Co-requisites
Restrictions
None
Exclusions
Description
This module will introduce you to metabolomics, and you will learn about the data processing and data analysis approaches (e.g. biostatistics and metabolite identification) that are used to interpret data and extract biological insight from the large metabolomics data sets. You will also be introduced to the analytical approaches (e.g. mass spectrometry and NMR spectroscopy) that are used in metabolomics, so that you can appreciate the challenges involved in producing robust and reproducible data sets.
Additionally, this module will introduce you to other emerging and advanced (omics) techniques, including bioimaging and spectroscopy.
The course will include a combination of interactive seminars, hands-on computer workshops, tutorials and a tour of the new Phenome Centre Birmingham.
Learning Outcomes
By the end of the module students should be able to:
Demonstrate a conceptual understanding of metabolomics, biological imaging and other advanced bioscience technologies.
Demonstrate a conceptual understanding of the major challenges facing metabolomics, biological imaging and other advanced bioscience technologies.
Demonstrate a conceptual understanding of a typical bioinformatics workflow to process and analyse metabolomics datasets.
Perform basic bioinformatics data analysis and extract biological insight from large metabolomics data sets.
