This is a funded project for the GUDMAP/RBK consortium to provide common analytics for submitted data to facilitate aggregation across disparate experiments. Phase one of this project is the creation of a RNA-sequencing analytic tool. This tool utilizes best-practices analytics for this data type and provides significant data quality outputs. In an effort to assess and correct metadata quality for these experiments, all required parameters are inferred directly from submitted data and output back to the data-hub. The tool seamlessly integrates with data-hub developed tools for authentication and data egress. Automated triggering using AWS cloud architecture was implemented to queue the running of data sets and scaling compute resources to match the need.