EMPress enables tree-guided, interactive, and exploratory analyses of multi-omic datasets

Cantrell, K.; Fedarko, M. W.; Rahman, G.; McDonald, D.; Yang, Y.; Zaw, T.; Gonzalez, A.; Janssen, S.; Estaki, M.; Haiminen, N.; Beck, K. L.; Zhu, Q.; Sayyari, E.; Morton, J.; Tripathi, A.; Gauglitz, J. M.; Marotz, C.; Matteson, N. L.; martino, c.; Sanders, J. G.; Carrieri, A. P.; Song, S. J.; Swafford, A. D.; Dorrestein, P.; Andersen, K. G.; PARIDA, L.; Kim, H.-C.; Vazquez-Baeza, Y.; Knight, R.

doi:10.1101/2020.10.06.327080

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bioRxiv · 10.1101/2020.10.06.327080

EMPress enables tree-guided, interactive, and exploratory analyses of multi-omic datasets

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Abstract

Standard workflows for analyzing microbiomes often include the creation and curation of phylogenetic trees. Here we present EMPress, an interactive tool for visualizing trees in the context of microbiome, metabolome, etc. community data scalable beyond modern large datasets like the Earth Microbiome Project. EMPress provides novel functionality--including ordination integration and animations--alongside many standard tree visualization features, and thus simplifies exploratory analyses of many forms of omic data.

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Cantrell, K., Fedarko, M. W., Rahman, G., McDonald, D., Yang, Y., Zaw, T., Gonzalez, A., Janssen, S., Estaki, M., Haiminen, N., Beck, K. L., Zhu, Q., Sayyari, E., Morton, J., Tripathi, A., Gauglitz, J. M., Marotz, C., Matteson, N. L., martino, c., Sanders, J. G., Carrieri, A. P., Song, S. J., Swafford, A. D., Dorrestein, P., Andersen, K. G., PARIDA, L., Kim, H.-C., Vazquez-Baeza, Y., Knight, R.. 2020-10-08. EMPress enables tree-guided, interactive, and exploratory analyses of multi-omic datasets. https://doi.org/10.1101/2020.10.06.327080

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