Nov 1, 2017

Dynamic assessment of microbial ecology (DAME): a web app for interactive analysis and visualization of microbial sequencing data

Brian D PiccoloKartik Shankar


Dynamic assessment of microbial ecology (DAME) is a Shiny-based web application for interactive analysis and visualization of microbial sequencing data. DAME provides researchers not familiar with R programming the ability to access the most current R functions utilized for ecology and gene sequencing data analyses. Currently, DAME supports group comparisons of several ecological estimates of α-diversity and β-diversity, along with differential abundance analysis of individual taxa. Using the Shiny framework, the user has complete control of all aspects of the data analysis, including sample/experimental group selection and filtering, estimate selection, statistical methods and visualization parameters. Furthermore, graphical and tabular outputs are supported by R packages using D3.js and are fully interactive. DAME was implemented in R but can be modified by Hypertext Markup Language (HTML), Cascading Style Sheets (CSS), and JavaScript. It is freely available on the web at Local installation and source code are available through Github ( Any system with R can launch DAME locally provided the shiny package is installed.

Mentioned in this Paper

Research Personnel
Nucleic Acid Sequencing
Sequence Determinations
Computer Programs and Programming
Data Interpretation, Statistical
Surgical Drapes

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