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

Daniel Beck | Zendy; Christopher Dennis | Zendy; James A. Foster | Zendy

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

Author(s) -

Daniel Beck,

Christopher Dennis,

James A. Foster

Publication year - 2014

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btu693

Subject(s) - computer science , cluster analysis , simple (philosophy) , principal (computer security) , interface (matter) , user friendly , world wide web , graphical user interface , user interface , data mining , open source , data science , information retrieval , software , machine learning , philosophy , epistemology , bubble , maximum bubble pressure method , parallel computing , programming language , operating system

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.

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