APA (7th ed.) Citation

JV, D. A. A., M, d. M. O., TM, K., FM, M. S., CM, N. M., CE, C. M., . . . A, d. M. V. (2026). Genome-Resolved in Silico Analysis of Poultry and Swine Lactobacillales Provides a Data-Driven Framework for Elucidating Metabolic Complementary interactions in Multi-Strain Probiotics. Probiotics and antimicrobial proteins, 18(4), 5970. https://doi.org/10.1007/s12602-025-10846-2

Chicago Style (17th ed.) Citation

JV, Dos Anjos Almeida, de Medeiros Oliveira M, Kuniyoshi TM, Mamani Sanca FM, Nóbrega Mendonça CM, Cabrera Matajira CE, Louvisi AL, de Souza Oliveira RP, and de Mello Varani A. "Genome-Resolved in Silico Analysis of Poultry and Swine Lactobacillales Provides a Data-Driven Framework for Elucidating Metabolic Complementary Interactions in Multi-Strain Probiotics." Probiotics and Antimicrobial Proteins 18, no. 4 (2026): 5970. https://doi.org/10.1007/s12602-025-10846-2.

MLA (9th ed.) Citation

JV, Dos Anjos Almeida, et al. "Genome-Resolved in Silico Analysis of Poultry and Swine Lactobacillales Provides a Data-Driven Framework for Elucidating Metabolic Complementary Interactions in Multi-Strain Probiotics." Probiotics and Antimicrobial Proteins, vol. 18, no. 4, 2026, p. 5970, https://doi.org/10.1007/s12602-025-10846-2.