Novel, Fully Automated Method Allows Efficient Analysis of qPCR Data for Qualitative Calling Based on Comparative Cq
Poster Apr 30, 2012
Collaborative research by Pioneer Hi-Bred (a DuPont company) and Azure PCR Limited
qPCR is extensively applied to determine the identity of genetically modified (GM) seeds and plants. Analysis and interpretation of qPCR data for any application is limited by sample variability1, poor assay performance1 and arbitrarily set thresholds2 which can all lead to ambiguous and subjective result calling that is reliant upon the expertise and experience of the scientist interpreting the assay. Processing of raw data output from thermal cyclers using analysis software, to provide data more easily interpretable by the human eye, can lead to loss of data3 and error prone sample calling4,5. In this study we retrospectively examined data produced in qPCR-based plant genotyping tests at Pioneer Hi-Bred to assess if patent-pending AzurePCR automated analysis produced similar results without the need for manual input of analysis parameters or manipulation of raw data.
Highly Accurate HCV Genotyping by Targeted Next Generation SequencingPoster
The recent fast advancement of next generation sequencing (NGS) technologies allowing for unprecedented speed and accuracy in analyzing viral genomes are opening new ways to further improve diagnostic genotyping of HCV.
Detecting resistance associated variants in HCV and HIVPoster
Objectives: to develop improved detection of clinically relevant viral mutations using ion torrent based NGS in an automated workflow.READ MORE
A Novel Cell-Free DNA Extraction System for Cancer DiagnosticsPoster
We developed a magnetic bead-based cfDNA extraction kit and integrated it into the automated qPCR- and NGS-based IVD workflows. In this study we are compering this magnetic beads-based cfDNA extraction system with a column-based method.READ MORE