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SEP 21, 2016 7:30 AM PDT

Using Data to Drive Automated Screening and Effective Reporting

Speakers

Abstract

The most important job of automated biology is to produce results that moves your research forward. If automation only executes a program of pre-determined set of steps, the researcher is left to update programs (even for simple changes) and process data with copy and paste.  This webinar will use a screen for miRNAs that regulate cancer cell viability and chemosensitivity to demonstrate how to make an effective data management plan. A data management plan uses input data to identify incoming samples, process data to drive automation, and analytical information to power further analysis inquiries. 

Learning Objectives:
•    The data-management workflow: Input, Process, Analyze
•    Data-workflow hierarchy: Runs, Plates, Wells
•    Data-management plan essentials
•    See a data-management plan in action on an actual screening campaign!


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