Paramus OpenChrom
UI (Human) Applications EPL-1.0 (Free)
About
Chromatography and mass spectrometry data analysis via noVNC desktop. Wraps OpenChrom in a Docker container with browser-based remote desktop for full GUI access.
Key Features
- OpenChrom desktop via noVNC
- GC-MS / LC-MS data analysis
- Peak detection and integration
- Browser-based remote GUI
- Bundled chromatography file readers
Frequently Asked Questions
What is Paramus OpenChrom?
Paramus OpenChrom is a ui (human) applications application available in the Paramus App Store. Chromatography and mass spectrometry data analysis via noVNC desktop. Wraps OpenChrom in a Docker container with browser-based remote desktop for full GUI access.
Is Paramus OpenChrom free to use?
Yes. Paramus OpenChrom is distributed under the EPL-1.0 (Free) license and is available at no cost through the Paramus App Store.
How do I install Paramus OpenChrom?
Paramus OpenChrom is installed through Paramus Chemistry OS, an on-premise Windows platform for computational chemistry. Open the Paramus App Store in your local installation and select Paramus OpenChrom for one-click deployment.
What are the key features of Paramus OpenChrom?
Key features of Paramus OpenChrom include: OpenChrom desktop via noVNC; GC-MS / LC-MS data analysis; Peak detection and integration; Browser-based remote GUI.
What type of application is Paramus OpenChrom?
Paramus OpenChrom belongs to the “UI (Human) Applications” category in the Paramus App Store. It runs on Paramus Chemistry OS and can also be accessed through Paramus Cloud for supported workflows.
What platform does Paramus OpenChrom run on?
Paramus OpenChrom runs on Paramus Chemistry OS, a Windows-based on-premise platform that provides local compute power for demanding simulations. It requires a Paramus OS installation with appropriate hardware resources.
Can Paramus OpenChrom be automated or integrated with AI workflows?
Yes. Paramus OpenChrom is available as part of the Paramus ecosystem which supports MCP (Model Context Protocol) tools for AI-driven automation. This enables integration with large language models and automated research pipelines.