C-DIAM Multi-Omics Studio

C-DIAM Multi-Omics Studio, developed by Pythia BioSciences, is a microservice-based Software-as-a-Service (SaaS) platform designed to unify single- and multiple-omics data analysis and integration in one place. It is built for both bioinformaticians who require rapid customization capabilities and biologists who need an accessible, intuitive interface — enabling teams across the life sciences to extract the full value of integrated omics data with speed and adaptability.

The platform supports a wide range of omics data types, including Genomics, Epigenomics, Transcriptomics, Proteomics, Metabolomics, Microbiome, Interactome, Single Cell, and Spatial data. Inputs can be as straightforward as a gene or protein table, a differential expression result, or an expression matrix, making it accessible regardless of the complexity of the upstream data.

Supported Omics Data Types

• Genomics & Epigenomics: Mutation data and ATAC-seq
• Transcriptomics: Bulk RNA-seq, Single-cell RNA-seq, and Spatial transcriptomics
• Proteomics: Mass spectrometry proteomics and CITE-seq
• Metabolomics: Metabolomics datasets

Multi-Omics Data Management and Integration

• Manages data as individual datasets or groups them into projects for collective or individual exploration
• Aggregate multi-omics insights include top ligand-receptor pairs, top interacting cell types, overlapping significant pathways, and potential therapeutic targets
• Supports meta-analysis across multiple omics experiments within a single project
• Enables both individual dataset exploration and integrated cross-omics analysis workflows

Machine Learning and Analysis Workflows

• Incorporates state-of-the-art machine learning algorithms within an intuitive graphical user interface
• Includes Extreme Gradient Boosting (XGBoost), a widely applied classifier for biomarker prediction and classification problems in biology
• Additional machine learning models are in active development
• Supports both single-omics and multi-omics analysis workflows
• Adjustable target and biomarker workflow templates, with customizable options for safety, pharmacodynamic biomarker, mechanism of action, and experiment planning workflows in development

Pathway and Interactome Knowledgebase

• Integrates multiple pathway and interactome knowledge sources
• Includes Pythia's proprietary Intercellular Signaling Prediction workflows
• Enables identification of predominant signalling pathways, drug targets, and ligand-receptor interactions across omics layers

Platform Architecture and Customization

• Microservice-based cloud architecture enables rapid deployment, integration, and bespoke customization
• Supports integration with public, third-party, and private data sources, pipelines, and applications
• Compatible with internally built tools such as R Shiny data visualization applications
• Capable of bringing C-DIAM capabilities to existing in-house computational resources
• Scalable to handle large datasets, including single-cell datasets with hundreds of thousands of cells

Ease of Access and Deployment

• SaaS framework requiring no installation — accessible via common web browsers including Chrome, Firefox, Edge, and Safari
• Can be deployed behind an organization's firewall or via private cloud configurations
• Graphical user interface designed to be accessible to all biologists regardless of programming skills
• Command-line interface available for bioinformaticians requiring deeper customization

Validated Therapeutic Area Use Cases

• Parkinson's Disease: Meta-analysis across transcriptomics, proteomics, and metabolomics data to uncover cell-cell interactions, ligand-receptor pairs, pathways, drug targets, and biomarkers
• Type 2 Diabetes: Multi-omics analysis across transcriptomics, proteomics, and metabolomics to identify potential targets and ligand-receptor interactions
• Colorectal Cancer: Integration of multiple omics datasets to identify predominant signalling pathways, biomarkers, and therapeutic targets
• Inflammatory Bowel Disease: Meta-analysis of publicly available IBD datasets to identify new therapeutic targets using custom analytical tools

C-DIAM Multi-Omics Studio is designed with scalability and adaptability at its core, enabling life sciences teams to keep pace with the rapidly growing volume of omics data and the fast-evolving landscape of bioinformatics methods. Its microservice architecture facilitates straightforward integration of new analytical methods as they emerge, making it a future-ready platform for drug discovery, target identification, and biomarker research.