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CDIAM Multi-Omics Software Platform

Your helping hand in metabolomics data analysis

Analyze metabolomics data quickly, easily, and comprehensively - wherever you are. 

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Why choose CDIAM for metabolomics data?

Simple deployment and access

CDIAM is an SAAS framework - meaning no installation. You can access the platform anywhere via common web browsers: Chrome, Firefox, Edge, Safari, you name it. The platform can be deployed either behind your organizations' firewall or using private cloud configurations.

Microservices for customization

The microservice-based architecture of CDIAM enables bespoke development, integration with public or internally built pipelines and tools (like R shiny data visualization applications) or even the ability to bring CDIAM capabilities to existing in-house computational resources.

Graphical user interface for ease of use

CDIAM aims to make it easier for all scientists to interpret and leverage the values of omics data. Thus, it is built in an interactive and intuitive graphical UI that is accessible to all biologists, regardless of their programming skills.

Data management and analysis -All in one place

The platform manages the data as individual datasets or groups them in ‘projects’. Multi-omics data in a ‘project’ can be collectively analyzed for aggregate insights, or individually explored. Examples of such aggregate insights include: top ligand-receptor pairs, top cell types interacting with each other, overlapping significant pathways, potential targets, etc. commonly found across experiments.

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Save your time for the insights, not the hassle

Analyzing metabolomics data is no small feat! It involves multiple complex steps, including normalization, compound name mapping, multivariate analysis, and functional analyses like pathway enrichment—all requiring programming expertise and a variety of specialized tools. Additionally, interpreting the results and integrating metabolomics data with other omics types can be daunting.

Feeling overwhelmed? No worries! CDIAM simplifies metabolomics analysis with its user-friendly graphical interface and pre-built analytical pipelines, making the process quick, intuitive, and hassle-free.

Explore metabolomics data 
from matrix to insights

Get all the essentials for metabolomics data exploration in one single platform, from matrix to insights.

Import metabolomics matrix

Quickly import metabolomics matrices in TXT, TSV, or CSV formats in an intuitive UI. 

Visualize and compare

Visualize samples, clusters and metabolite contents with different plot types (e.g. scatter plot, violin plot and heatmap), across PCA coordinates.

Map compound names to ChEBI IDs

Map compound names in your data to the ChEBI IDs. 

Find differentially accumulated metabolites

Find differential metabolites for any samples or groups of samples.

Run dimensionality reduction and clustering

Perform PCA for dimensionality reduction and leuven clustering to cluster your samples.

Find enriched pathways

Find enriched pathways using Reactome and Wikipathways or custom pathway databases.

Prioritize targets & validate biomarkers

Find and score potential targets and biomarkers from the enrichment result through Pathway2Targets and Biomarker2Validate pipelines

Summarize insights across different experiments

Summarize differential metabolites, pathways, targets and biomarkers across different experiments.

Run cross-omics integration

Combine metabolomics data with other omics types to gain aggregate insights into pathways, targets, and biomarkers through the Multiomics Union pipeline.

Go beyond metabolomics

CDIAM is designed for multi-omics data analysis and integration.  Metabolomics data in a project can be collectively analyzed with other omics datasets and experiments for aggregate insights. Easily summarize and validate DE genes, DE proteins, differential metabolites, targets, biomarkers, ligand-receptor pairs and pathways across different studies and experiments.

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Explore public and in-house data, together

CDIAM integrates in itself a curated database of public omics data, where you can interactively access and copy public datasets to your own projects for integration. 

Some of the available databases:

10x Genomics Spatial Visium

Pythia curated scRNA-seq database

CosMx

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Recount3

CPTAC

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Analyze any where. Collaborate any time.

Access and analyze your data on the web

CDIAM is a web platform, meaning that you can access it and analyze the data any time, any where. 

Share and collaborate easily

Collaborate seamlessly with your team members through convenient sharing and collaboration options, such as URLs and shared project notebooks.

Discover important insights with CDIAM

Request a trial now to start analyzing your multi-omics data with CDIAM Multi-Omics Studio.

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