Analyzing biological data, especially large-scale omics data, presents challenges in secure data management, workflow customization, and access to sufficient computing resources. Researchers often struggle with complex data interpretation, hindering productivity and collaboration across disciplines.

Watershed is a biological data analysis platform that integrates secure data management, customizable workflows, and scalable supercomputing infrastructure to facilitate rapid, large-scale analyses across various omics disciplines. The platform supports diverse data types, from sequencing to mass spectrometry and high-content imaging. By providing a dedicated bioinformatics team and ready-to-use AI tools, Watershed empowers researchers to overcome data complexity, accelerate insights, and enhance collaboration. The platform's customizable user interface and template workflows enable users with varying levels of coding experience to generate publication-quality figures and implement new workflows.

Secure data management with unmatched security to protect patient data and intellectual property

Customizable workflows that can be tailored to specific research needs

Scalable infrastructure to handle large datasets and complex analyses

Ready-to-use AI tools for enhanced data interpretation

Dedicated bioinformatics team to support researchers

Support for various omics disciplines, including genomics, epigenomics, transcriptomics, proteomics, multi-omics, population genetics, and microbiomes

Customizable UI to facilitate collaboration

GPU-enabled biocomputing to accelerate complex algorithms

Integration with Geneformer for drug target discovery using network biology

Watershed is designed for cancer biologists, bioinformaticians, and other researchers in the life sciences who require a secure, scalable, and customizable platform for analyzing complex biological data.