American Psychological Association 6th edition

Lissabet, J. F. B., Belén, L. H., & Farias, J. G. (2020). PPLK+C: A Bioinformatics Tool for Predicting Peptide Ligands of Potassium Channels Based on Primary Structure Information. Interdisciplinary Sciences: Computational Life Sciences, 12(3), 258-263. https://doi.org/10.1007/s12539-019-00356-5

ISO-690 (author-date, English)

LISSABET, Jorge Félix Beltrán, BELÉN, Lisandra Herrera und FARIAS, Jorge G., 2020. PPLK+C: A Bioinformatics Tool for Predicting Peptide Ligands of Potassium Channels Based on Primary Structure Information. Interdisciplinary Sciences: Computational Life Sciences. 1 September 2020. Vol. 12, no. 3, p. 258-263. DOI 10.1007/s12539-019-00356-5.

Modern Language Association 9th edition

Lissabet, J. F. B., L. H. Belén, und J. G. Farias. „PPLK+C: A Bioinformatics Tool for Predicting Peptide Ligands of Potassium Channels Based on Primary Structure Information.“. Interdisciplinary Sciences: Computational Life Sciences, Bd. 12, Nr. 3, September 2020, S. 258-63, https://doi.org/10.1007/s12539-019-00356-5.

Mohr Siebeck - Recht (Deutsch - Österreich)

Lissabet, Jorge Félix Beltrán/Belén, Lisandra Herrera/Farias, Jorge G.: PPLK+C: A Bioinformatics Tool for Predicting Peptide Ligands of Potassium Channels Based on Primary Structure Information., Interdisciplinary Sciences: Computational Life Sciences 2020, 258-263.

Emerald - Harvard

Lissabet, J.F.B., Belén, L.H. und Farias, J.G. (2020), „PPLK+C: A Bioinformatics Tool for Predicting Peptide Ligands of Potassium Channels Based on Primary Structure Information.“, Interdisciplinary Sciences: Computational Life Sciences, Vol. 12 No. 3, S. 258-263.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.