Tango Therapeutics, a Cambridge-based biotech discovering and developing novel cancer therapies, leverages the TetraScience Data Integration Engine, powered by AWS and augmented by Egnyte, to help manage, standardize, and centralize their data.
Like many modern biotechs, Tango leverages a semi-virtual research model: some of their research is performed in-house, some of it is performed by Contract Research Organizations (CROs). The company’s target discovery platform generates huge amounts of data, and Tango has to integrate it all so that the scientists can quickly find the files they need and the informatics team can leverage analytical tools to query the data.
Joe Kennedy, Associate Director of IT & Informatics at Tango, estimates he spends 2-4 hours each week manually handling CRO-generated data, a problem which will only scale and compound as Tango grows.
Enter TetraScience. Through its Data Integration Engine, built partially on AWS, Tango is now able to have CRO-generated files automatically validated (catching any human errors), parsed, and moved into a data lake—with no human interaction. As these files are loaded into Egnyte, TetraScience’s pipelines look for new and updated file versions to kick off the centralization process.
Once in the data lake, TetraScience provides a simple search interface for scientists to locate their data by searching across various metadata chosen by Tango. For example:
• Which CRO?
• Which compound?
• When was this run?
Joe also has the ability to write his own script and code to ensure that Tango can pivot nimbly as it adopts new technologies, assays and endpoints.
AWS is a particular draw for companies like Tango, as Joe explains: “For our team, having the flexibility to learn and understand our technology needs on the fly is really appealing. AWS and TetraScience have flattened the learning curve for us. We don’t have the in-house expertise of a devops engineer but working on AWS and working with partners like TetraScience and Egnyte, who leverage AWS, has allowed us to rollout technology that we otherwise wouldn’t be able to.”
"We don’t have the in-house expertise of a devops engineer but working on AWS and working with partners, like TetraScience and Egnyte, who leverage AWS has allowed us to roll out technology that we otherwise wouldn’t be able to.”
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