APA (7th ed.) Citation

Li, M., Song, Z., Gurinovich, A., Schork, N., Sebastiani, P., & Monti, S. (2024). yQTL Pipeline: A structured computational workflow for large scale quantitative trait loci discovery and downstream visualization. PloS one, 19(6), e0298501. https://doi.org/10.1371/journal.pone.0298501

Chicago Style (17th ed.) Citation

Li, Mengze, Zeyuan Song, Anastasia Gurinovich, Nicholas Schork, Paola Sebastiani, and Stefano Monti. "YQTL Pipeline: A Structured Computational Workflow for Large Scale Quantitative Trait Loci Discovery and Downstream Visualization." PloS One 19, no. 6 (2024): e0298501. https://doi.org/10.1371/journal.pone.0298501.

MLA (9th ed.) Citation

Li, Mengze, et al. "YQTL Pipeline: A Structured Computational Workflow for Large Scale Quantitative Trait Loci Discovery and Downstream Visualization." PloS One, vol. 19, no. 6, 2024, p. e0298501, https://doi.org/10.1371/journal.pone.0298501.