- Blomquist, T., Crawford, E. L., Yeo, J., Zhang, X., & Willey, J. C. (2015). Control for stochastic sampling variation and qualitative sequencing error in next generation sequencing. Biomolecular Detection and Quantification, 5, 30–37.
- Seminal publication on utility of SNAQ-SEQ as a control for stochastic and technical errors in NGS
- Blomquist, T. M., Crawford, E. L., Lovett, J. L., Yeo, J., Stanoszek, L. M., Levin, A., Li, J., Lu, M., Shi, L., Muldrew, K., & Willey, J. C. (2013). Targeted RNA-Sequencing with Competitive Multiplex- PCR Amplicon Libraries. PLoS ONE, 8(11).
- Powerful RNASeq protocol using SNAQ-SEQ spike-in RNA controls to provide highly accurate transcript abundance measurements to identify potential predictive biomarkers for lung cancer.
- Yeo, J., Crawford, E. L., Zhang, X., Khuder, S., Chen, T., Levin, A., Blomquist, T. M., & Willey, J. C. (2017). A lung cancer risk classifier comprising genome maintenance genes measured in normal bronchial epithelial cells. BMC Cancer, 17(1), 1–10.
- Clinical data sets leveraging the discriminating potential of SNAQ-SEQ RNA controls to identify lung cancer risk in high risk patients but with healthy bronchial epithelial cells
- Craig, D. J., Morrison, T., Khuder, S. A., Crawford, E. L., Wu, L., Xu, J., Blomquist, T. M., & Willey, J. C. (2019). Technical advance in targeted NGS analysis enables identification of lung cancer risk-associated low frequency TP53, PIK3CA, and BRAF mutations in airway epithelial cells. BMC Cancer, 19(1), 1–14.
- Use of SNAQ-SEQ to identify lung cancer risk associated variants at low (<1%) VAF
