Dr. James Willey has published proof-of-principle experiments demonstrating the measurement sample variation and sequencing error for every Next Generation Sequencing (NGS) sample. The June 1st, 2015 Biomolecular Detection and Quantification article describes how the STARSEQ method, mixtures of internal standards spiked into DNA samples, allow estimation of starting template abundance and method induced mutations effecting the NGS method. This information enables calculation variation and sensitivity for every sequenced target in every sample. “Clinical implementation of Next-Generation Sequencing is challenged by poor control for stochastic sampling, library preparation biases and qualitative sequencing error. StarSeq control for stochastic sampling at input of both target into library preparation and of target library product into sequencer, and control for qualitative errors generated during library preparation and sequencing,” says Dr. Willey, senior author of the article.
StarSeq was originally developed to enable standardization and accurate abundance measurements of DNA targets by NGS regardless of instrumentation, sample quality and laboratory site. Further, StarSeq improves throughput by over 1000-fold by compressing the sequence space and reducing the number of sequencing counts required to support the required reporting range. Customer may use throughput increase to run more samples per NGS chip or measure more targets per sample. With the demonstration of stochastic variation and mutation rate, StarSeq addresses the major concerns associated with NGS sample processing.