期刊
BIOINFORMATICS
卷 31, 期 4, 页码 602-603出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btu693
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资金
- National Institutes of Health [P20GM016454]
- National Science Foundation [DBI0939454]
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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