Member's display METWAREBIO Metware Biotechnology Co., Ltd

Tuesday, May 09, 2023

MWDB Major Upgrade: 20,000 plant metabolites MWDB (Metware Database) can now detect 20000 types of plant metabolites Since 2014, Metware Biotechnology has been pushing the boundaries of metabolite detection. Our featured product Widely-Targeted Metabolomics for Plants has been undergoing...

Tuesday, May 09, 2023

The LC-MS untargeted metabolomics is used for unbiased detection of metabolites in samples by liquid chromatography-mass spectrometry and to obtain their qualitative and quantitative information. Technology Introduction The main application is for comparing the case group with the...

Tuesday, May 09, 2023

The transcriptome is an important method to obtain gene expression in a biological system, and the metabolomics and multi-omics is the basis and direct readout of the system's phenotype. The metabolites are the final result of gene transcription under internal and external regulation...

Tuesday, May 09, 2023

TM high resolution metabolomics is the 'Untargeted metabolomics + Targeted Metabolomics' process that achieves the perfect combination of high resolution, wide-coverage, high sensitivity, and precise quantification. It is a great starting point to examine the global metabolite profile...

Tuesday, May 09, 2023

Targeted metabolomics is an approach to detect specific compound(s) using QQQ Mass Spec and quantify using chemical standards. This process achieve accurate identification and absolute quantification of the target metabolites. In constrast with global metabolomics profiling, targeted...

Tuesday, May 09, 2023

T500 is a targeted-metabolomics method that are both extensive and accurate in identification and quantification of 540 disease-related metabolites. Each metabolite is matched and quantified to chemical standards to obtain absolute quantification. Technology Introduction T500 is our...

Tuesday, May 09, 2023

The types and quantities of metabolites vary greatly in different species and tissues. The mGWAS (metabolome Genome-Wide Association Study) approach uses population materials, based on resequencing genetic information and metabolomics data to carry out genome-wide association analysis...