APA (7th ed.) Citation

Yamamoto, T., Shimojima, K., Ondo, Y., Imai, K., Chong, P. F., Kira, R., . . . Okamoto, N. (2016). Challenges in detecting genomic copy number aberrations using next-generation sequencing data and the eXome Hidden Markov Model: A clinical exome-first diagnostic approach. Human genome variation, 3(1), 16025. https://doi.org/10.1038/hgv.2016.25

Chicago Style (17th ed.) Citation

Yamamoto, Toshiyuki, Keiko Shimojima, Yumiko Ondo, Katsumi Imai, Pin Fee Chong, Ryutaro Kira, Mitsuhiro Amemiya, Akira Saito, and Nobuhiko Okamoto. "Challenges in Detecting Genomic Copy Number Aberrations Using Next-generation Sequencing Data and the EXome Hidden Markov Model: A Clinical Exome-first Diagnostic Approach." Human Genome Variation 3, no. 1 (2016): 16025. https://doi.org/10.1038/hgv.2016.25.

MLA (9th ed.) Citation

Yamamoto, Toshiyuki, et al. "Challenges in Detecting Genomic Copy Number Aberrations Using Next-generation Sequencing Data and the EXome Hidden Markov Model: A Clinical Exome-first Diagnostic Approach." Human Genome Variation, vol. 3, no. 1, 2016, p. 16025, https://doi.org/10.1038/hgv.2016.25.