Multi-omics Analysis Package
LC/MS, GC/MS Data Analysis Software
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.
Features
Movies
-
Procedure for Outputting a Text File
-
Visualization of Measurement Results on a Metabolic Map
-
Visualization of Measurement Results on a Metabolic Map～Time-Series Data～
-
Visualization of Volcano Plots by Comparison of Two Groups of Data
-
Visualization of Compound Correlations
-
Multivariate Analysis and its Visualization on Metabolic Maps
News / Events
-
Shimadzu at ASMS 2023
-
Per- and Polyfluoroalkyl Substances (PFAS)
Per-and polyfluoroalkyl substances (PFAS) are a group of persistent and harmful chemicals that can be commonly found in the environment globally. These anthropogenic chemicals can come from various sources such as manufacturing, industrial applications, food contact materials and consumer products, and eventually end up and accumulate in the water, soil and living organisms.
-
The Shimadzu LCMS-2050 High-Performance Liquid Chromatograph Mass Spectrometer and the AA-7800 series of atomic absorption spectrophotometers have received the Red Dot Design Award 2023.
The Shimadzu LCMS-2050 High-Performance Liquid Chromatograph Mass Spectrometer and the AA-7800 series of atomic absorption spectrophotometers have received the Red Dot Design Award 2023.
-
New 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.
-
Shimadzu has released the LC/MS/MS Method Package for Steroid Hormones.
The LC/MS/MS method package for steroid hormones contains LC/MS/MS analytical methods with optimized analytical conditions and MS parameters for analyzing 20 kinds of steroid hormones and corrective substances. The package enables comprehensive analysis of steroid hormones ranging from adrenocortical hormones, such as mineralocorticoid and glucocorticoid, to sex hormones, such as androgens, estrogens, and progestogens.
-
Life Science Biomarker Industry Page has been updated
Biomarkers are derived from living organisms and found in tissues, blood, and other bodily fluids. Biomarkers are indicators of biological changes in an organism and are used to diagnose disease, in prognosis, and to evaluate the efficacy and safety of pharmaceuticals. Biomarkers can be nucleic acids, proteins, peptides, lipids, and sugars, and are identified using various “omics” techniques.
Sustainability initiatives
-
3 Good health and well-being