Belgium: Taming the application of statistics in proteomics and metabolomics

Lead Research Organisation: University of Bristol
Department Name: Clinical Veterinary Science

Abstract

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Description In June 2019 we held a 1.5 European workshop in the Turing Institute which created working groups to define best practices for statistical analysis in proteomics, and for achieving false discovery rates in metabolomics. We held a follow-up half-day meeting at the Turing Institute in December 2020.
Exploitation Route We hope that we can add rigour to proteomics and metabolomics analysis that will benefit a wide range of life sciences and medical research.
Sectors Agriculture, Food and Drink,Healthcare,Pharmaceuticals and Medical Biotechnology
 
Description Proteomics Standards Initiative 
Organisation Human Proteome Organization
Department Proteomics Standards Inititative
Country United States 
Sector Charity/Non Profit 
PI Contribution Expertise on signal compression and data representation for application to the PSI's mzML standard interchange format for proteomics
Collaborator Contribution Implementation and validation of new signal compression approaches for mzML
Impact One publication [Teleman et al, Molecular and Cellular Proteomics, 1537-42, 2014], with open source implementation in ProteoWizard (http://proteowizard.sourceforge.net/)
Start Year 2013
 
Title mzMLb 
Description A 
Type Of Technology Software 
Year Produced 2018 
Impact Proteomics Standards Initiative standards compatible binary mass spectrometry data format for efficient read/write speed and storage space requirements 
URL https://github.com/biospi/mzmlb
 
Description BBSRC Turing workshop on Statistical Data Science for Proteomics and Metabolomics 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Other audiences
Results and Impact 80 students, industry, data scientists and applications scientists attended this 1.4 day workshop. This led to generation of pan-European working group to tackle best practices for statistics in proteomics, and towards false discovery rates in metabolite id.
Year(s) Of Engagement Activity 2019