| URL: | http://vmapapp.org |
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| Description: | VMAP, 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. |
| Year founded: | 2023 |
| Last update: | 2023 |
| Version: | v1.0 |
| Accessibility: |
Accessible
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| Country/Region: | United States |
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| University/Institution: | University of California San Francisco |
| Address: | Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA. USA |
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| Country/Region: | United States |
| Contact name (PI/Team): | Marina Sirota |
| Contact email (PI/Helpdesk): | marina.sirota@ucsf.edu |
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VMAP: Vaginal Microbiome Atlas During Pregnancy. [PMID: 36993193]
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. |