Seed: a user-friendly tool for exploring and visualizing microbial community data.
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ABSTRACT: 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.comSupplementary information
Supplementary data are available at Bioinformatics online.
SUBMITTER: Beck D
PROVIDER: S-EPMC4325548 | biostudies-literature | 2015 Feb
REPOSITORIES: biostudies-literature
Publications
Seed: a user-friendly tool for exploring and visualizing microbial community data.
Beck Daniel D Dennis Christopher C Foster James A JA
Bioinformatics (Oxford, England) 20141020 4
<h4>Summary</h4>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.<h4>Availability and implementation</h4>Seed is open source and avail ...[more]
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