Workstation for Gas Chromatograph Mass Spectrometer GCMSsolution
Smart Metabolites Database™ Ver.2 - Options
Smart Metabolites Database for GC-MS(/MS) Analysis
Data Analysis Software
Multi-omics Analysis Package
The Multi-omics Analysis Package is a metabolic engineering software that can automatically generate metabolic maps and perform a variety of data analyses based on the vast amounts of mass spectrometry data generated in fields such as metabolomics, proteomics, and flux analysis.
GC-MS Software
Application Specific GC-MS Systems
-
The Multi-omics Analysis Package, developed for metabolic engineering applications, provides the ability to automatically generate metabolic maps and perform a variety of data analysis for the vast data generated in fields like metabolomics, proteomics and flux analysis.
Related information
-
The Multi-omics Analysis Package, developed for metabolic engineering applications, provides the ability to automatically generate metabolic maps and perform a variety of data analysis for the vast data generated in fields like metabolomics, proteomics and flux analysis.
-
The GCMS-TQ8050 NX features a new highly efficient detector and three noise reduction technologies that enable femtogram-level quantitative analysis.
-
The Shimadzu GCMS-TQ8040 NX is the first triple quadrupole with Smart Productivity for high efficiency sample throughput, Smart Operation for quick and easy method development, and Smart Performance for low detection limits and Scan/MRM.
-
The GCMS-QP2020 NX can assist any laboratory, regardless of its analysis focus, achieve its full potential.
-
Peakintelligence for GCMS is equipped with new AI peak integration algorithms that significantly shorten the time needed for peak integration in the GC/MS/MS quantitative processing work sequence. AI algorithms trained with peak integration know-how provide peak integration on par with that of an experienced user, so configuring or adjusting parameters is not required. In addition, the software can correctly detect low-concentration samples.