APA (7th ed.) Citation

Lee, D., Kwon, T., Lee, H., Oh, Y., Kim, J., & Lee, T. (2022). NGSpop: A desktop software that supports population studies by identifying sequence variations from next-generation sequencing data. PLoS ONE, 17(11), 1. https://doi.org/10.1371/journal.pone.0260908

Chicago Style (17th ed.) Citation

Lee, Dong-Jun, Taesoo Kwon, Hye-Jin Lee, Yun-Ho Oh, Jin-Hyun Kim, and Tae-Ho Lee. "NGSpop: A Desktop Software That Supports Population Studies by Identifying Sequence Variations from Next-generation Sequencing Data." PLoS ONE 17, no. 11 (2022): 1. https://doi.org/10.1371/journal.pone.0260908.

MLA (9th ed.) Citation

Lee, Dong-Jun, et al. "NGSpop: A Desktop Software That Supports Population Studies by Identifying Sequence Variations from Next-generation Sequencing Data." PLoS ONE, vol. 17, no. 11, 2022, p. 1, https://doi.org/10.1371/journal.pone.0260908.