Seed: a user-friendly tool for exploring and visualizing microbial community data.
other · Level V
Where this comes from
- Record sourced from PubMed, PMID 25332377.
- Also identified by DOI 10.1093/bioinformatics/btu693 and PMC identifier 4325548.
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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.com SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Medical subject headings
- Bacteria
- Computational Biology
- Computer Graphics
- Ecology
- Software