| Autor: |
Antonio Parraga-Leo, Tomiko T. Oskotsky, Boris Oskotsky, Camilla Wibrand, Alennie Roldan, Alice Tang, Connie W.Y. Ha, Ronald J. Wong, Samuel S. Minot, Gaia Andreoletti, Idit Kosti, Kevin R. Theis, Sherrianne Ng, Yun S. Lee, Patricia Diaz-Gimeno, Phillip R. Bennett, David A. MacIntyre, Susan V. Lynch, Roberto Romero, Adi L. Tarca, David K. Stevenson, Nima Aghaeepour, Jonathan Golob, Marina Sirota |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
medRxiv |
| Popis: |
The vaginal microbiome has been shown to be associated with pregnancy outcomes including preterm birth (PTB) risk. Here we present VMAP: Vaginal Microbiome Atlas during Pregnancy (http://vmapapp.org), an application to visualize features of 3,909 vaginal microbiome samples of 1,416 pregnant individuals from 11 studies, aggregated from raw public and newly generated sequences via an open-source tool, MaLiAmPi. Our visualization tool (http://vmapapp.org) includes microbial features such as various measures of diversity, VALENCIA community state types (CST), and composition (via phylotypes and taxonomy). This work serves as a resource for the research community to further analyze and visualize vaginal microbiome data in order to better understand both healthy term pregnancies and those associated with adverse outcomes. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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