APA (7th ed.) Citation

Rocha, U., Kasmanas, J. C., Toscan, R., Sanches, D. S., Magnusdottir, S., & Saraiva, J. P. (2024). Simulation of 69 microbial communities indicates sequencing depth and false positives are major drivers of bias in prokaryotic metagenome-assembled genome recovery. PLoS Computational Biology, 20(10), 1. https://doi.org/10.1371/journal.pcbi.1012530

Chicago Style (17th ed.) Citation

Rocha, Ulisses, Jonas Coelho Kasmanas, Rodolfo Toscan, Danilo S. Sanches, Stefania Magnusdottir, and Joao Pedro Saraiva. "Simulation of 69 Microbial Communities Indicates Sequencing Depth and False Positives Are Major Drivers of Bias in Prokaryotic Metagenome-assembled Genome Recovery." PLoS Computational Biology 20, no. 10 (2024): 1. https://doi.org/10.1371/journal.pcbi.1012530.

MLA (9th ed.) Citation

Rocha, Ulisses, et al. "Simulation of 69 Microbial Communities Indicates Sequencing Depth and False Positives Are Major Drivers of Bias in Prokaryotic Metagenome-assembled Genome Recovery." PLoS Computational Biology, vol. 20, no. 10, 2024, p. 1, https://doi.org/10.1371/journal.pcbi.1012530.