CCB Seminar - Dr Andrew Dowsey

Location
Centre for Computational Biology, Haworth building, Room 320
Category
Engineering and Physical Sciences, Lectures Talks and Workshops, Life and Environmental Sciences, Medical and Dental Sciences, Research
Dates
Wednesday 25th October 2017 (13:00-14:00)
Download the date to your calendar (.ics file)
Contact

Jessica Mylchreest - CCB Administrator
J.Mylchreest@bham.ac.uk

Dr Andrew Dowsey
Chair in One Health Bioinformatics and Biostatistics
School of Social & Community Medicine and School of Veterinary Sciences
University of Bristol

“A statistical analysis platform for biomarker discovery in clinical proteomics and metabolomics”

Critical to the success of the stratified medicine approach is a diagnostic programme that can reliably characterise molecules that act as markers for early disease detection and subsequent drug selection based on safety and efficacy. A number of large-scale facilities worldwide have been established to systematically discover these biomarkers, including the Stoller Biomarker Discovery Centre (SBDC) for mass spectrometry proteomics in Manchester. Despite strict operating procedures that control sample preparation and analysis, analysis of biomedical proteomics and metabolomics data is challenged by the biological complexity, heterogeneity and dynamic range inherent in clinical samples, requiring large sample sizes for confident discovery, which in turn leads to issues with reproducibility. To overcome the limitations of existing informatics pipelines for robust identification, quantification and differential analysis, we have developed a novel workflow for biomarker discovery that for the first time extracts peaks and whole biochemical features through statistical modelling of the unprocessed data. Recently, we have further extended this pipeline with a novel group-sparse method to determine the most likely set of proteins present given a set of peptide identifications that can scale to millions of spectra, a Bayesian modelling approach to assess peptide reproducibility for robust, reliable protein quantification and significance testing, and a new file format for scalable computation. In this talk I will discuss the translation of these methods into a platform for the SBDC, plus the potential of adapting these methods for corresponding applications in metabolomics.


The seminars are an opportunity for the CCB Community and external speakers to present their work or topics of interest to the bioinformatics community. 
Wednesday 25 October 2017 13.00 to 14.00.
CCB Large Meeting & Teaching Room, Haworth Building.
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