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1 Ergebnisse
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Leveraging 16S rRNA data to uncover vaginal microbial signa..:
Ming Wu
;
Hongfei Yu
;
Yueqian Gao
...
https://www.frontiersin.org/articles/10.3389/fcimb.2023.1024723/full. , 2023
Link:
https://doi.org/10.3389/fcimb.2023.1024723
RT Journal T1 <Title>Leveraging 16S rRNA data to uncover vaginal microbial signatures in women with cervical cancer</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:3c8e9695325f4f1aa82beae7e8ae59ac&Exemplar=1&LAN=DE A1 Ming Wu A1 Hongfei Yu A1 Yueqian Gao A1 Huanrong Li A1 Chen Wang A1 Huiyang Li A1 Xiaotong Ma A1 Mengting Dong A1 Bijun Li A1 Junyi Bai A1 Yalan Dong A1 Xiangqin Fan A1 Jintian Zhang A1 Ye Yan A1 Wenhui Qi A1 Cha Han A1 Aiping Fan A1 Fengxia Xue PB Frontiers Media S.A. YR 2023 K1 vaginal microbiota K1 biomarkers K1 16S rRNA K1 cervical cancer K1 HPV K1 Microbiology K1 QR1-502 JF https://www.frontiersin.org/articles/10.3389/fcimb.2023.1024723/full LK http://dx.doi.org/https://doi.org/10.3389/fcimb.2023.1024723 DO https://doi.org/10.3389/fcimb.2023.1024723 SF ELIB - SuUB Bremen
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