Kallenborn, F., Cascitti, J., & Schmidt, B. [ca. 2022]. CARE 2.0 : reducing false-positive sequencing error corrections using machine learning [Electronic]. BMC bioinformatics, (Band 23 (2022), Artikel-ID: 227), , Artikel-ID: 227. https://doi.org/10.25358/openscience-8122
ISO-690 (author-date, English)KALLENBORN, Felix, CASCITTI, Julian and SCHMIDT, Bertil, 2022. CARE 2.0 : reducing false-positive sequencing error corrections using machine learning. BMC bioinformatics. 2022. No. Band 23 (2022), Artikel-ID: 227, p. , Artikel-ID: 227. DOI 10.25358/openscience-8122.
Modern Language Association 9th editionKallenborn, F., J. Cascitti, and B. Schmidt. “CARE 2.0 : reducing false-positive sequencing error corrections using machine learning”. BMC bioinformatics, electronic, no. Band 23 (2022), Artikel-ID: 227, Johannes Gutenberg-Universität Mainz London : Bio Med Central, 2000-, 2022, p. , Artikel-ID: 227, https://doi.org/10.25358/openscience-8122.
Mohr Siebeck - Recht (Deutsch - Österreich)Kallenborn, Felix/Cascitti, Julian/Schmidt, Bertil: CARE 2.0 : reducing false-positive sequencing error corrections using machine learning, BMC bioinformatics 2022, , Artikel-ID: 227.
Emerald - HarvardKallenborn, F., Cascitti, J. and Schmidt, B. (2022), “CARE 2.0 : reducing false-positive sequencing error corrections using machine learning”, BMC bioinformatics, Johannes Gutenberg-Universität Mainz London : Bio Med Central, 2000-, London: Springer, No. Band 23 (2022), Artikel-ID: 227, p. , Artikel-ID: 227.