@article {wang2017ultrasensitive,
	title = {Ultrasensitive and high-efficiency screen of de novo low-frequency mutations by o2n-seq},
	journal = {Nature communications},
	volume = {8},
	year = {2017},
	pages = {15335},
	publisher = {Nature Publishing Group},
	abstract = {Detection of de novo, low-frequency mutations is essential for characterizing cancer genomes and heterogeneous cell populations. However, the screening capacity of current ultrasensitive NGS methods is inadequate owing to either low-efficiency read utilization or severe amplification bias. Here, we present o2n-seq, an ultrasensitive and high-efficiency NGS library preparation method for discovering de novo, low-frequency mutations. O2n-seq reduces the error rate of NGS to 10-5{\textendash}10-8. The efficiency of its data usage is about 10{\textendash}30 times higher than that of barcode-based strategies. For detecting mutations with allele frequency (AF) 1\% in 4.6 Mb-sized genome, the sensitivity and specificity of o2n-seq reach to 99\% and 98.64\%, respectively. For mutations with AF around 0.07\% in phix174, o2n-seq detects all the mutations with 100\% specificity. Moreover, we successfully apply o2n-seq to screen de novo, low-frequency mutations in human tumours. O2n-seq will aid to characterize the landscape of somatic mutations in research and clinical settings.},
	url = {https://www.nature.com/articles/ncomms15335},
	author = {Wang, Kaile and Lai, Shujuan and Yang, Xiaoxu and Zhu, Tianqi and Xuemei Lu and Chung-I Wu and Ruan, Jue}
}
