UK - Japan Metabolomics Workshop

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  • EVENTS

This Workshop is an opportunity for academics, early career researchers and scientists in the field of metabolomics to discuss and collaborate. Hosted by leading academics and researchers in this field and held at the University of Manchester this event represents their collaboration with Osaka University, through the BBSRC UK - Japan International Collaboration Award. The event is sponsored by Shimadzu.

Date: 28th of June

Venue: Manchester Institute of Biotechnology, University of Manchester

Preliminary program

 
9:00 Welcome
 
9:15 -
9.35
 Junko Iida, Analytical & Measuring Instruments Division, Shimadzu Corporation. 
Title: ‘Development of Multi-omics data analysis tools for automated visualization and parameter free peak picking based on Deep Learning’
9:35 -  
10:00
 Eiichiro Fukusaki, Graduate School of Engineering, Osaka University.
Title: ‘Application of Metabolomics for High Resolution Phenotype Analysis’
 
10:00 - 10:15
Cunyu Yan, SYNBIOCHEM, University of Manchester.
Title: ‘Visualization of engineered synthetic biology pathway with DESI MS'
10:15 - 10.45 Tea/Coffee
10:45 - 11.10
Akihiro Kunisawa, Analytical & Measuring Instruments Division, Shimadzu Corporation.
Title: ‘Application of rapid and comprehensive D.L-amino acid analysis method for intestinal flora study’
11:10 - 11:35
Rainer Breitling, University of Manchester.
Title: ‘Metabolomics for Synthetic Biology’
11:35 - 11:50
Katherine Hollywood, SYNBIOCHEM, University of Manchester.
Title: ‘Online monitoring of volatile organic compounds by proton transfer mass spectrometry - Applications within synthetic biology.’
11:50 - 12:05
Drupad Trivedi, University of Manchester.
Title: ‘Smell-led volatilome analysis for disease diagnosis’
12:05 - 13:05 Lunch/Poster
13:05 - 13:30
Sastia Putri, Graduate School of Engineering, Osaka University.
Title: ‘Metabolomics application for microbial strain improvement’
13:30 - 13:55
Nick Lockyer, University of Manchester.
Title: ‘Metabolic Analysis by Mass Spectrometry Imaging’
13:55 - 14:10
Francesco Del Carratore, University of Manchester.
Title: "Integrated Probabilistic Annotation (IPA): A Bayesian-based annotation method for metabolomic profiles integrating biochemical connections, isotope patterns and adduct relationships".