OMICON — A Cloud-Based Genomic Research Platform for UCSF
Overview
Nextware Technologies partnered with the Oldham Lab at the University of California, San Francisco (UCSF) to design and develop OMICON, a cloud-based research platform that enables scientists to explore large-scale gene coexpression networks in human brain samples.
OMICON provides researchers with a centralized environment for discovering, analyzing, and comparing genomic datasets produced by different labs and scientific consortia. The platform supports standardized metadata, reproducible workflows, and interactive tools that enable collaborative research across distributed teams.
The system now supports analysis of gene expression data from more than 17,000 human brain samples and includes hundreds of thousands of gene coexpression modules available through a powerful search and visualization interface.
The Challenge
Modern neuroscience research generates extremely large and complex datasets that are difficult to manage, analyze, and compare across independent studies. Existing methods require manual configuration, lack consistent metadata standards, and make it difficult to compare findings across datasets. Researchers also face challenges in locating relevant results efficiently and sharing discoveries with collaborators.
UCSF required a scalable, cloud-based platform that could support large-scale genomic data analysis while enabling researchers to navigate and reproduce complex workflows, visualize results, and collaborate effectively within a unified system.
Our Solution and its Key Features
Nextware Technologies developed OMICON, a centralized cloud-based platform designed to support large-scale genomic data analysis and collaborative research.
The solution provides a structured environment where datasets, analyses, and results can be organized, explored, and reproduced through an intuitive web interface.
Key Features:
- Development of a searchable repository for large-scale genomic datasets
- Implementation of standardized metadata to improve discoverability and consistency
- Creation of an interactive workflow visualization system to support reproducible research
- Design of advanced search tools enabling highly specific dataset and module discovery
- Integration of collaboration features such as commenting and shared feedback workflows
The platform was designed to scale efficiently while maintaining ease of use for researchers working with complex genomic data.
Results
OMICON successfully transformed how researchers organize and analyze large-scale genomic data.
The platform now enables researchers to:
- Access and analyze data from 17,000+ human brain samples
- Explore 250,000+ gene coexpression modules across multiple studies
- Perform highly targeted searches across standardized datasets
- Reproduce complex analysis workflows with improved transparency
- Collaborate more effectively across research teams
By consolidating data and workflows into a unified platform, OMICON significantly improved efficiency and enabled new discoveries in neuroscience research.
Business Impact
OMICON provides researchers with a powerful and scalable infrastructure that supports ongoing scientific discovery.
The platform has improved research productivity by reducing manual analysis effort, improving data discoverability, and enabling more consistent and reproducible workflows. These capabilities support faster hypothesis development and accelerate progress in the study of neurological diseases and brain disorders.
Client Testimonial
“I had a vision of creating a collaborative platform that would allow researchers to explore and analyze large-scale gene coexpression networks in a unified environment. Nextware Technologies brought the technical expertise needed to turn that vision into reality. Their team delivered a robust and intuitive platform that has significantly enhanced our ability to organize, analyze, and share complex genomic data.”
— Dr. Michael C. Oldham
University of California, San Francisco (UCSF)
