title: Seed: a user-friendly tool for exploring and visualizing microbial community data.
abstract: CONCLUSIONS
  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.
  
  
  METHODS
  Seed is open source and available at https://github.com/danlbek/Seed.
  
  
  BACKGROUND
  danlbek@gmail.com
  
  
  BACKGROUND
  Supplementary data are available at Bioinformatics online.
authors.affiliation: Department of Biological Sciences, University of Idaho, Moscow, ID 83844, USA.
authors.forename: Daniel
authors.initials: D
authors.lastname: Beck
authors.affiliation: Department of Biological Sciences, University of Idaho, Moscow, ID 83844, USA.
authors.forename: Christopher
authors.initials: C
authors.lastname: Dennis
authors.affiliation: Department of Biological Sciences, University of Idaho, Moscow, ID 83844, USA.
authors.forename: James A
authors.initials: JA
authors.lastname: Foster
mesh_terms: D001419:Bacteria / Q000145:classification* / Q000235:genetics*; D019295:Computational Biology / Q000379:methods*; D003196:Computer Graphics; D004463:Ecology; D012984:Software