APA (7th ed.) Citation
Shiluli, C., Kamath, S., Kanoi, B., Kimani, R., Maina, M., Waweru, H., . . . Gitaka, J. (2024). Multi-repeat sequences identification using genome mining techniques for developing highly sensitive molecular diagnostic assay for the detection of Chlamydia trachomatis [version 2; peer review: 2 approved]. F1000 Research Ltd.
Chicago Style (17th ed.) Citation
Shiluli, C., et al. Multi-repeat Sequences Identification Using Genome Mining Techniques for Developing Highly Sensitive Molecular Diagnostic Assay for the Detection of Chlamydia Trachomatis [version 2; Peer Review: 2 Approved]. F1000 Research Ltd, 2024.
MLA (9th ed.) Citation
Shiluli, C., et al. Multi-repeat Sequences Identification Using Genome Mining Techniques for Developing Highly Sensitive Molecular Diagnostic Assay for the Detection of Chlamydia Trachomatis [version 2; Peer Review: 2 Approved]. F1000 Research Ltd, 2024.
Warning: These citations may not always be 100% accurate.