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 maps) are compatible with method packages for primary metabolites, cell culture profiling, lipid mediators, and bile acid. The templates can be used as-is or customized using simple operations.
The Process Flow of Multi-omics Analysis Package
Tools for Data Analysis
The Multi-omics Analysis Package is based on software tools (called gadgets) that have been released on the GARUDA platform - an open research platform developed by the GARUDA Alliance and led by The Systems Biology Institute, Japan (SBI).
Data Analysis Tools Used in the Multi-omics Analysis Package
Volcano Plot
A tool that combines a t-test (statistically significant difference) and a fold-change (Example: Difference in mean value such as 2 times or 1/2) to visualize the differences between the two groups. The Volcano Plot gadget developed by Shimadzu is included in the package.
EasyStats
This tool is for visualizing principal component analysis (PCA) or hierarchical cluster analysis (HCA) results or box plots (including t-test) of measurement data. It can display metabolite data analysis results in a single window to enable comprehensive determination of characteristic changes.
VANTED
Tool maintained at University of Konstanz, Germany, for visualization and analysis of networks across different data sets. (GARUDA support was developed at Monash University)
Cytoscape
Bioinformatics tool developed by the Cytoscape Consortium, used to visualize metabolic pathways, to integrate gene expression profiles with related data, and so on. It is especially useful for analyzing networks and visualizing correlations.
LC/MS/MS Method Packages Supported by Multi-omics Analysis Package
* The Multi-omics Analysis Package is included with the LC/MS/MS Method Package for Primary Metabolite, Cell Culture Profiling, and Metabolites Method Package Suite.
News / Events
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What is a Method Package?
Method Package contains ready-to-use analytical conditions and sample pretreatment procedures optimized for Shimadzu mass spectrometers and specific analytical applications.
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Shimadzu has released the LC/MS/MS Methid Package for Glycosaminoglycans
The study of Glycosaminoglycans (GAGs) or mucopolysaccharides, and enzymes involved in GAG metabolism is an important aspect of clinical research related to lysosomal storage. Quantitation of GAGs in bones, joints, the brain, heart, lungs, and other organs is a useful tool in this field of study. GAGs can be quantitated by measuring the sulfated disaccharides produced by enzymatic degradation of GAGs. The research group led by Hironori Kobayashi of Shimane University Hospital, Clinical Laboratory Division, has been instrumental in the development of methods for the detection of sulfated disaccharides by LC/MS.
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Shimadzu has released the LC/MS/MS Method Package for PFAS in Drinking Water.
Provides procedures and methods for analyzing organofluorine compounds in drinking water according to EPA methods 533 and 537.1
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Shimadzu has released the CoreFocus Library.
CoreFocus Library is a digital library where you can find and learn different methods for analyzing your target compounds.
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Shimadzu has released the Peakintelligence™
Peakintelligence is a world-first algorithm incorporating AI assistance to search for chromatography peaks. Having learnt peak processing skills from experienced users, the AI can process data with the same skill level. The algorithm can be implemented immediately without adjusting any parameters, and reduce wrong detection by 1/3 compared conventional algorithm with default setting.
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Shimadzu has released the 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
Sustainability initiatives
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3 Good health and well-being