Establishing A Robust Ngs Laboratory Workflow And Analysis Pipeline For Ffpe Specimen Rnaseq To Support Biopharmaceutical Translational Research

Pharmaceutical RD however, the two methods cannot be used interchangeably without computational normalization. The two library preparation and RNA extraction methods performed similarly in this experiment. DV200 was found to be an good metric for evaluating the quality of FFPE RNA and predicting success in generating RNAseq data. Our experience across NGS vendors showed that to get optimal results, vendor performance must be managed by using layers of controls with agreed on laboratory performance metrics and explicitly setting NGS experimental parameters in advance of performing the work. Citation Format: Konstantinos Mavrommatis, Lauren Intagliata, Garth McGrath, Daniel Civello, Maureen Cronin. Establishing a robust NGS laboratory workflow and analysis pipeline for FFPE specimen RNAseq to support biopharmaceutical translational research. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 3626.