EMPress Enables Tree-Guided, Interactive, and Exploratory Analyses of Multi-omic Data Sets

EMPress Enables Tree-Guided, Interactive, and Exploratory Analyses of Multi-omic Data Sets

ABSTRACT Standard workflows for analyzing microbiomes often include the creation and curation of phylogenetic trees. Here we present EMPress, an interactive web tool for visualizing trees in the context of microbiome, metabolome, and other community data scalable to trees with well over 500,000 node...

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Bibliographic Details
Main Authors: Kalen Cantrell, Marcus W. Fedarko, Gibraan Rahman, Daniel McDonald, Yimeng Yang, Thant Zaw, Antonio Gonzalez, Stefan Janssen, Mehrbod Estaki, Niina Haiminen, Kristen L. Beck, Qiyun Zhu, Erfan Sayyari, James T. Morton, George Armstrong, Anupriya Tripathi, Julia M. Gauglitz, Clarisse Marotz, Nathaniel L. Matteson, Cameron Martino, Jon G. Sanders, Anna Paola Carrieri, Se Jin Song, Austin D. Swafford, Pieter C. Dorrestein, Kristian G. Andersen, Laxmi Parida, Ho-Cheol Kim, Yoshiki Vázquez-Baeza, Rob Knight
Format: article
Language:EN
Published: American Society for Microbiology 2021
Subjects:
bioinformatics
microbial ecology
Microbiology
QR1-502
Online Access:https://doaj.org/article/642607271af34b37a0d4e6c0fe02b930
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https://doaj.org/article/642607271af34b37a0d4e6c0fe02b930

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