Advanced Technology Platforms module (BS52007)
Master cutting-edge research technologies spanning bioinformatics, microscopy and proteomics, with hands-on training in the computational and imaging platforms
Modern biomedical research depends on a wide array of sophisticated technologies. This module takes you inside three of the most important technology themes: bioinformatics and next generation sequencing; advanced microscopy and live cell imaging; and proteomics, mass spectrometry and structural biology. For each theme, you will develop a critical understanding of the underlying principles, the strengths and limitations of each technology, and how to select and apply the right approach for a given research question. On the computational side, you will work with Linux-based bioinformatics tools to analyse genome or transcriptome data. The imaging strand covers fluorescence and live cell microscopy and image analysis, while the proteomics topic introduces flow cytometry, mass spectrometry, crystallography and cryo-electron microscopy.
What you will learn
In this module, you will:
- Explore the principles and applications of next generation sequencing and bioinformatics tools for genome and transcriptome analysis
- Examine advanced microscopy techniques including fluorescent and live cell imaging
- Investigate proteomics technologies including mass spectrometry, flow cytometry and structural biology methods
By the end of this module, you will be able to:
- Demonstrate in-depth knowledge of research methodology and study design for advanced technology applications
- Critically evaluate the strengths and limitations of different technology platforms for specific research questions
- Run Linux-based bioinformatics tools to analyse genomic and or transcriptomic data
- Access and interrogate bioscience databases and interpret data effectively
Assignments / assessments
In-course assessment 1: structured report (25%)
- Covers the bioinformatics theme; completed progressively throughout the topic area
- Supported by formative assessments
- Given in week 14, due in week 17
In-course assessment 2 (25%)
- Undertaken under quiet classroom conditions, ; coverings the imaging theme
- Given in week 20
Exam (50%)
- Draws heavily on the proteomics theme but integrates learning from all three thematic areas
Teaching methods / timetable
- Lectures
- Workshops (including IT suite sessions for bioinformatics)
A blended learning approach is used, with an emphasis on giving you responsibility for your own learning. Teaching is delivered at City Campus.
Courses
This module is available on the following courses: