SaaS platform to analyze, share, and reuse life science data and code
Business Model: SAAS
Revenue: $0
Employees: 1-10
Address:
City: Cambridge
State: Massachusetts
Zip:
Country: United States
Our product is a web-based platform with two sides. On one side, experimental researchers can run the latest analyses code written and shared by other researchers--at the click of a button and with no specialized training or configuration. On the other side, computational researchers can package up and deploy their code for others to use--without having to learn Docker or other packaging tools. This allows experimentalists to analyze and improve on their data quickly and effortlessly keep track of their results. It allows computationalists to collaborate easily, get credit for their code, and improve it to build their portfolios. It also allows lab leaders to seamlessly continue projects through turnover, stay compliant with funders&s; data management and sharing policies, and set lab standards for best practice analysis.
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