This year marks the return to hosting the 20th International GC×GC Symposium in person, this time at the Coast Canmore Hotel & Conference Centre from May 28-June 1.
TMIC is an academic Lab with ISO Certifications
TMIC is operated as an academic lab at a competitive price. Yet, we also have secured certifications and remain committed to pursuing additional certifications to provide assurance to clients regarding the quality of projects entrusted to us. We aim to be the one-stop provider for metabolomics projects, offering a guarantee of quality and instilling confidence in the outcomes delivered.
Congratulations to Dr. Tao Huan for being awarded the Metabolites 2023 Young Investigator Award and Ryland Giebelhaus for being granted a CIHR Michael Smith Foreign Study Supplement Award to the University of Copenhagen
Current topics in metabolomics and exposomics – focusing specifically on advancing the understanding of exposures in Medicine, Agriculture/Food/Cannabis, Environment/Industrial Settings, and Clinical Applications.
TMIC is proud to be an integral part of Life Sciences Week 2023 and maintains a strong and collaborative relationship with API in advancing the frontiers of life sciences research and innovation.
Gas chromatography (GC) is a popular tool for metabolomics research. For discovery work in the areas of volatile and semi-volatile analysis.
Health Research BC Scholar Program has proudly awarded its prestigious scholarship to Dr. Tao Huan for his research to study the impacts of maternal sugar consumption on both mothers and infants.
Congratulations to Dr. Wishart! His metabolomics research spans many areas including biomarker discovery, technology development & informatics.
Are you curious about the clinical and medical applicability of metabolomics assays? We will discuss based on our recent metabolomics publications related to this setting.
This April Issue of MetaboNews featured big data research by Dr. Tao Huan from the University of British Columbia and just joined TMIC this April with the other two nodes.