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collected regularly from sewage-impacted rivers and from properties affected by flood events. Data will be analyses using advanced bioinformatics to characterise community structure, resistance genes and
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interpretation of the data generated and that’s where this project comes in. You’ll be applying metagenomic bioinformatics techniques to respiratory samples and developing analysis and interpretation approaches
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the student with training in diverse techniques related to molecular and cellular biology, bioinformatics and protein biochemistry. A key activity in this project will be the use of targeted reverse genetics
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unique proteins function. In addition to mass spectrometry, the Leney group utilises SDS PAGE, chromatography, UV-vis spectroscopy, fluorescence spectroscopy, bioinformatics and in collaboration with
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candidate with a strong quantitative background (e.g., in computer science, statistics, bioinformatics). The following skills are essential for this project: Excellent programming skills in Python. Proven