APA (7th ed.) Citation

M, M., FG, B., CP, M., JP, N., & MA, M. (2022). MotSASi: Functional short linear motifs (SLiMs) prediction based on genomic single nucleotide variants and structural data. Biochimie, 197, 59. https://doi.org/10.1016/j.biochi.2022.02.002

Chicago Style (17th ed.) Citation

M, Martín, Brunello FG, Modenutti CP, Nicola JP, and Marti MA. "MotSASi: Functional Short Linear Motifs (SLiMs) Prediction Based on Genomic Single Nucleotide Variants and Structural Data." Biochimie 197 (2022): 59. https://doi.org/10.1016/j.biochi.2022.02.002.

MLA (9th ed.) Citation

M, Martín, et al. "MotSASi: Functional Short Linear Motifs (SLiMs) Prediction Based on Genomic Single Nucleotide Variants and Structural Data." Biochimie, vol. 197, 2022, p. 59, https://doi.org/10.1016/j.biochi.2022.02.002.