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Published on: July 12, 2018
Seed: a user-friendly tool for exploring and visualizing microbial community data
Daniel Beck1, Christopher Dennis1, James A Foster1
1Department of Biological Sciences, University of Idaho, Moscow, ID 83844, USA.
Summary:
In this article we present Simple Exploration of Ecological Data (Seed), a data exploration tool for microbial communities. Seed is written in R using the Shiny library. This provides access to powerful R-based functions and libraries through a simple user interface. Seed allows users to explore ecological datasets using principal coordinate analyses, scatter plots, bar plots, hierarchal clustering and heatmaps.
Availability And Implementation:
Seed is open source and available at https://github.com/danlbek/Seed.
Contact:
danlbek@gmail.com
Supplementary Information:
Supplementary data are available at Bioinformatics online.
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