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16S rRNA Gene-Amplicon-Based Profiling of the Vaginal Micro..:
, In:
International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023); Lecture Notes in Networks and Systems
,
Jbara, Soumaya
;
Idrissi, Abdellah Azami
;
Fadel, Sara
... - p. 149-165 , 2024
Link:
https://doi.org/10.1007/978-3-031-52385-4_14
RT T1 <cTitle>International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023); Lecture Notes in Networks and Systems</cTitle>: T1 <Title>16S rRNA Gene-Amplicon-Based Profiling of the Vaginal Microbiome From North African Women</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_978-3-031-52385-4_14&Exemplar=1&LAN=DE A1 Jbara, Soumaya A1 Idrissi, Abdellah Azami A1 Fadel, Sara A1 Al Idrissi, Najib A1 Rhalem, Wajih A1 Allali, Imane A1 Bakri, Youssef A1 Tissir, Rajaa A1 Ghazal, Hassan PB Springer Nature Switzerland YR 2024 SP 149 OP 165 LK http://dx.doi.org/https://doi.org/10.1007/978-3-031-52385-4_14 DO https://doi.org/10.1007/978-3-031-52385-4_14 SF ELIB - SuUB Bremen
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