Multi-omics Analysis Package

LC/MS, GC/MS Data Analysis Software

Multi-omics Analysis Package

 

The Multi-omics Analysis Package is metabolic engineering software that can automatically generate metabolic maps and perform a variety of data analysis based on the vast amounts of mass spectrometry data generated in fields such as metabolomics, proteomics, and flux analysis. In conjunction with the various method packages and databases offered by Shimadzu for metabolomic analysis, the Multi-omics Analysis Package can help increase the efficiency of metabolomic data analysis work. The intuitive visualization of data provides powerful support for drug discovery, functionally-enhanced foods, bioengineering, and other life sciences research applications.

Visualize Changes in Compound Quantities on a Metabolic Map Using Simple Operations

The software dramatically decreases the amount of work required for graphing measurement data or displaying it on a metabolic map.

 

Identify Significant Compounds Using Simple Operations

It makes it easy to use volcano plots for comparing two groups, principal component analysis (PCA) for comparing multiple groups, hierarchical clustering analysis (HCA), and box plots. Linked PCA, HCA, and box plot results can be displayed in the same window to conveniently identify significant compounds. The metabolic map can be enlarged to confirm where identified compounds are located on the map and to support confirming and interpreting the data.

 

Includes Visualization Template Files Compatible with a Variety of Method Packages

The templates are designed to work in combination with various Shimadzu method packages. These packages contain sample pretreatment methods and analytical conditions for use as “ready-to-use methods,” which ensure the entire process, from mass spectrometry analysis to data analysis, can be performed with ease. In particular, these visualization templates (metabolic map) are compatible with method package for Primary Metabolites, Cell Culture Profiling, Lipid Mediators, Bile Acids and Smart Metabolites Database. The templates can be used as-is or customized using simple operations.

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