Multi-omics Analysis Package

LC/MS, GC/MS Data Analysis Software

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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. It offers a powerful platform to support drug discovery, bioengineering and other life science research applications.

Automatically Visualize Quantitative Changes in Metabolites and Proteins on a Metabolic Map

Dramatically reduces the amount of work required for bottleneck processes of analyzing and visualizing data, such as displaying data on a metabolic map and analyzing correlations.

Works Perfectly with Software Developed by the World's Top Research Institutions

In combination with various other software (called gadgets) connected on the GARUDA™ platform, it offers optimal workflows for multi-dimensional analyses.

Integrated Support for Operations from Data Acquisition to Analysis

The software includes various data processing gadgets which connect with corresponding data analysis gadgets, providing a seamless, connected experience of a single software program. It is designed to work in combination with various Shimadzu databases prepared with "Ready-to-Use Methods" for everything from sample pretreatment to analytical conditions, which ensures the entire process flow, from obtaining mass spectrometer measurements to data analysis, can be performed smoothly.

In the Multi-omics Analysis Package, we provide the data analysis software developed based on tools (gadgets) that have been released on the GARUDA open research platform, which is mainly managed by The Systems Biology Institute, Japan (SBI).

 

The Process Flow of Multi-omics Analysis Package

Multi-omics Analysis Package includes various data processing gadgets which connect with corresponding data analysis gadgets, providing a seamless, connected experience of a single software program. Furthermore it is designed to work in combination with various Shimadzu database, which ensures the entire process flow, from obtaining mass spectrometer measurements to data analysis, can be performed smoothly.

Data Analysis Example

Changes in metabolite levels in a cell culture medium over time were measured using a GC-MS system. Acquired data was analyzed using the Multi-omics Analysis Package and metabolite changes were visualized by displaying them on a metabolic map.

 

Experiment Protocol

 

Data Analysis Example

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 led by The Systems Biology Institute, Japan (SBI).

http://www.garuda-alliance.org/

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.

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.

Method Packages for Omics

Tools for Data Analysis

  • * LC/MS/MS Method Packages for Primary Metabolites and Cell Culture Profiling include the functions of Multi-omics Analysis Package.

GC/MS, GC-MS/MS Method Package for Metabolites

LC-MS/MS Method Package for Metabolites

LC/MS/MS MRM Library

LC/MS/MS Database

  • Exact Mass Database for Endogenous Metabolites

Smart Metabolites Database is a trademark of Shimadzu Corporation.
GARUDA is a trademark of The Systems Biology Institute.

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