Graduate Research School Available Projects Applications of spectral networks

Applications of spectral networks

Title of Project

Applications of spectral networks

Name of Advisor/s

Ira Cooke


College of Public Health, Medical & Veterinary Science

Summary of Project

The ability to sequence nucleic acids has provided incredibly powerful tools for identifying and quantifying DNA and RNA is cells.  The equivalent tool for proteins and metabolites is the mass spectrometer. Unfortunately our ability to interpret mass spectrometry data is limited by the availability of accurate predicted protein sequences or known spectra from organic compounds. This project aims to bypass this difficulty by examining the relationships between spectra from different samples directly. The project will apply spectral network analysis to public datasets as well as in-house datasets gathered from soil and various marine invertebrates systems.  

Key Words

Mass Spectrometry, Bioinformatics, Networks, Proteomics

Would suit an applicant who

Has a strong interest in computer programming, good maths skills and an interest in new ways to analyze big datasets