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Image_1_Leveraging 16S rRNA data to uncover vaginal microbi..:
Ming Wu
;
Hongfei Yu
;
Yueqian Gao
...
doi:10.3389/fcimb.2023.1024723.s001. , 2023
Link:
https://doi.org/10.3389/fcimb.2023.1024723.s001
RT Journal T1
Image_1_Leveraging 16S rRNA data to uncover vaginal microbial signatures in women with cervical cancer.tiff
UL https://suche.suub.uni-bremen.de/peid=base-ftfrontimediafig:oai:figshare.com:article_21920964&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 YR 2023 K1 Clinical Microbiology K1 Medical Bacteriology K1 Medical Infection Agents (incl. Prions) K1 Medical Virology K1 vaginal microbiota K1 biomarkers K1 16S rRNA K1 cervical cancer K1 HPV JF doi:10.3389/fcimb.2023.1024723.s001 LK http://dx.doi.org/https://doi.org/10.3389/fcimb.2023.1024723.s001 DO https://doi.org/10.3389/fcimb.2023.1024723.s001 SF ELIB - SuUB Bremen
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