Thermo Fisher™ Platform for Science™ Software
As a platform approach to lab informatics, Thermo Fisher Platform for Science software is the underlying data management infrastructure designed to support workflows across your scientific organization. This flexible, extensible, cloud-based platform helps you easily collect, store, access, share and use your scientific data.
Thermo Fisher™ Platform for Science™ Software
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The Platform for Science software is a part of a Platform-as-a-Service (PaaS) solution enabling laboratory informatics. Our solutions work together on top of the Platform for Science software, to support data capture across your scientific workflows. Solutions consist of apps, designed to have you up and running quickly. Changes to these solutions are made through configurations, not custom code. These changes are immediately available throughout the platform and are reflected in our standards-based OData API. So, how does the Platform for Science software work and what does it offer?
- Workflow Capabilities: Capabilities (previously known as applications) provide templates to get labs up and running quickly, while leveraging industry best practices. Labs can combine workflow capabiltiies to fit the exact requirements of their workflows.
- Solutions: Solutions are comprised of a series of pre-packaged workflow capabilities. For example, the Ion Torrent NGS Solution is comprised of several pre-packaged workflow capabilities, and when put together form an end to end solution for Ion Torrent sequencing.
- Products: Thermo Scientific™ Core LIMS, ELN, SDMS and Connect software products enable seamless data capture and management, automation, collaboration, and integration.
- Platform: The flexible and extensible data model of the Platform for Science software supports workflows across a scientific organization, streamlining analysis ang providing a single source of truth.
- Infrastructure: The Platform for Science software is cloud-native. Managed deployments are available in the AWS cloud. Labs can also deploy to their own infrastructures, whether in the cloud or on-prem.
