Seed: a user-friendly tool for exploring and visualizing microbial community data.

ABSTRACT: 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.Seed is open source and available at https://github.com/danlbek/[e-mail] data are available at Bioinformatics online.

SUBMITTER: Beck D 

PROVIDER: S-EPMC4325548 | biostudies-literature | 2015 Feb

REPOSITORIES: biostudies-literature