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HIV-associated vaginal microbiome and inflammation predict ..:

Price, Joan T ; Vwalika, Bellington ; France, Michael...
Individual de-identified participant data that underlie the results reported in this article are publicly available at Open Science Framework (https://doi.org/10.17605/OSF.IO/WT6Q8). Sequence read data have been deposited in the Sequence Read Archive (SRA) of the US National Institutes of Health (submission ID: SUB10306692).. , 2022

Link: http://hdl.handle.net/10713/18992

RT Journal
T1 <Title>HIV-associated vaginal microbiome and inflammation predict spontaneous preterm birth in Zambia</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftumarylandhshsl:oai:archive.hshsl.umaryland.edu:10713_18992&Exemplar=1&LAN=DE
				
A1 Price, Joan T
A1 Vwalika, Bellington
A1 France, Michael
A1 Ravel, Jacques
A1 Ma, Bing
A1 Mwape, Humphrey
A1 Rittenhouse, Katelyn J
A1 De Paris, Kristina
A1 Hobbs, Marcia
A1 Nelson, Julie A
A1 Kasaro, Margaret P
A1 Stringer, Elizabeth M
A1 Stringer, Jeffrey S A
PB Springer Nature
YR 2022
K1 microbial communities
K1 HIV infections
K1 predictive markers
JF Individual de-identified participant data that underlie the results reported in this article are publicly available at Open Science Framework (https://doi.org/10.17605/OSF.IO/WT6Q8). Sequence read data have been deposited in the Sequence Read Archive (SRA) of the US National Institutes of Health (submission ID: SUB10306692).
LK http://hdl.handle.net/10713/18992
DO http://hdl.handle.net/10713/18992
SF ELIB - SuUB Bremen

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