MANTA, an integrative database and analysis platform that relates microbiome and phenotypic data

7Citations
Citations of this article
58Readers
Mendeley users who have this article in their library.

Abstract

With an ever-increasing interest in understanding the relationships between the microbiota and the host, more tools to map, analyze and interpret these relationships have been developed. Most of these tools, however, focus on taxonomic profiling and comparative analysis among groups, with very few analytical tools designed to correlate microbiota and the host phenotypic data. We have developed a software program for creating a web-based integrative database and analysis platform called MANTA (Microbiota And pheNoType correlation Analysis platform). In addition to storing the data, MANTA is equipped with an intuitive user interface that can be used to correlate the microbial composition with phenotypic parameters. Using a case study, we demonstrated that MANTA was able to quickly identify the significant correlations between microbial abundances and phenotypes that are supported by previous studies. Moreover, MANTA enabled the users to quick access locally stored data that can help interpret microbiota-phenotype relations. MANTA is available at https://mizuguchilab.org/manta/ for download and the source code can be found at https://github.com/chenyian-nibio/manta.

Cite

CITATION STYLE

APA

Chen, Y. A., Park, J., Natsume-Kitatani, Y., Kawashima, H., Mohsen, A., Hosomi, K., … Mizuguchi, K. (2020). MANTA, an integrative database and analysis platform that relates microbiome and phenotypic data. PLoS ONE, 15(12 December). https://doi.org/10.1371/journal.pone.0243609

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free