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Leveraging existing 16S rRNA gene surveys to decipher microbial signatures and dysbiosis in cervical carcinogenesis.

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Title: Leveraging existing 16S rRNA gene surveys to decipher microbial signatures and dysbiosis in cervical carcinogenesis.
Authors: Li, Xiaoxiao1 (AUTHOR), Xiang, Fenfen1 (AUTHOR), Liu, Tong2 (AUTHOR), Chen, Zixi1 (AUTHOR), Zhang, Mengzhe1 (AUTHOR), Li, Jinpeng1 (AUTHOR), Kang, Xiangdong1 (AUTHOR) xd_kang@163.com, Wu, Rong1 (AUTHOR) rong701@126.com
Source: Scientific Reports. 5/21/2024, Vol. 11 Issue 1, p1-12. 12p.
Database: Academic Search Ultimate
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An: 177393892
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  Data: Leveraging existing 16S rRNA gene surveys to decipher microbial signatures and dysbiosis in cervical carcinogenesis.
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  Data: <searchLink fieldCode="JN" term="%22Scientific+Reports%22">Scientific Reports</searchLink>. 5/21/2024, Vol. 11 Issue 1, p1-12. 12p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=177393892
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        Value: 10.1038/s41598-024-62531-z
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        Text: English
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      – TitleFull: Leveraging existing 16S rRNA gene surveys to decipher microbial signatures and dysbiosis in cervical carcinogenesis.
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              Text: 5/21/2024
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