Making an Idea Machine: Modular Architecture for a Scaleable Exploratory Data Analysis Platform in Genomics, Sports and Beyond
published: Oct. 12, 2016, recorded: August 2016, views: 1033
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Exploratory data analysis has been a core facilitator of discovery in genomics research over the last 20 years. The critical advancement in the field has been to put data analysis tools in the hands of domain experts: non-programmers and non-statisticians that have the capacity to hypothesize and discover in their field. Jesse Paquette and tag.bio have identified key aspects from the discovery process in genomics and used them to develop a modular, scalable exploratory data analysis platform that can be configured for a wide variety of data domains. Case studies presented will focus on applications of the tag.bio platform for discovery in sports.
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