Our research involves applying mass spectrometry-based technologies to perform molecular phenotyping at the population level. This work entails the development of both LC/MS and GC/MS methods for the quantification of lipids and other metabolites. A major focus of the lab also centers on developing the associated bioinformatics approaches including pathway analysis and network construction as well as multivariate statistical methods for integration of 'omics-based data structures.
Lab news
KI News
PubMed
- Trends in the Application of Multiomics Based on Machine Learning in the Development of Probiotics
- Integrated Serum Pharmacochemistry, Metabolomics, and Network Pharmacology to Reveal the Material Basis and Mechanism of Juan-tong-yin in the Treatment of Endometriosis
- An Inclusive Insight into leaf Metabolome Reveals Substantial Metabolic flux in Maize Seedlings Subjected to Boron (B) Toxicity
- Integration of proxy intermediate omics traits into a nonlinear two-step model for accurate phenotypic prediction
- Smart farming approaches in medicinal plant cultivation: a review of techniques, benefits, and sustainability
VR News
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- MATRAC 1 School - time to apply
- Decision within Conference grants
- Open call - JPIAMR Network Call on Virtual Research Institute
Metabolomics News
- Utilizing LC-MS Metabolomic Profiling to Identify Plasma Biomarkers Associated with Adult-Onset Hearing Loss - Chromatography Online
- AI blood test detects early pancreatic cancer with over 90 percent accuracy - Nanowerk
- Why one herb smells stronger: Genomics explains the chemistry behind Xiangru quality - EurekAlert!
- ADHD Isn’t One Condition—Brain Scans Suggest Three Types - Technology Networks
- Breast Cancer Hijacks Metabolism and Immunity To Spread - Technology Networks














