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Tag.bio is a San Francisco-based startup which develops data analysis software architecture and tools for the healthcare and life science research industries. Tag.bio was started by Tom Covington and Jesse Paquette to allow oncology researchers to ask and answer guided questions of their data without having to wait for a bioinformatician.
Tag.bio allows users to select data, map it into the data node within hours, and deploy the node to the analysis site within minutes. Once the node is visible in the site, domain experts can use the analysis apps to ask and answer their own questions.
Tag.bio uses a data portal as a centralized, collaborative hub that enables domain experts to run analyses on multiple data nodes. The results are saved as useful data artifacts (UDATs) that can be shared and reproduced with a single click. A data mesh architecture is used, where each data node ties a data source, algorithms and an API together into an independently deployable, containerized analysis server. Each data node also has a smart API that allows standardized communication in two ways: between one dataset and another, and between a dataset and its analysis apps.
