APA (7th ed.) Citation

Borner, J., & Burmester, T. (2017). Parasite infection of public databases: A data mining approach to identify apicomplexan contaminations in animal genome and transcriptome assemblies. BMC Genomics, 18, 1. https://doi.org/10.1186/s12864-017-3504-1

Chicago Style (17th ed.) Citation

Borner, Janus, and Thorsten Burmester. "Parasite Infection of Public Databases: A Data Mining Approach to Identify Apicomplexan Contaminations in Animal Genome and Transcriptome Assemblies." BMC Genomics 18 (2017): 1. https://doi.org/10.1186/s12864-017-3504-1.

MLA (9th ed.) Citation

Borner, Janus, and Thorsten Burmester. "Parasite Infection of Public Databases: A Data Mining Approach to Identify Apicomplexan Contaminations in Animal Genome and Transcriptome Assemblies." BMC Genomics, vol. 18, 2017, p. 1, https://doi.org/10.1186/s12864-017-3504-1.