We live in a time when technology advancement makes the amount of scientific data grow exponentially. For instance, improvements in laboratory technologies allows us to explore new chemical spaces and expedite data generation; scientific literature is being digitalized for easier access... All these developments have resulted in greater scientific data availablity. However, how to collect, organize, analysis and visualize this large amount of scientific data remains challenging.<br/><br/>In this presentation, a case study of managing chemical and biologic data within Scilligence’s web-based systems will be introduced. A typical workflow starts from synthesis planning, product registration, assay data analysis, to sample management. The information related to small molecules or biologics can be scattered around in the document repository system. It is however, fully recorded and searchable with Scilligence’s knowledge-mining tools.

Beyond chemistry: Collect, organize, and visualize scientific data on the web

251st National Meeting (2016)

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