STAMP is a software package for analyzing taxonomic or metabolic profiles that promotes ‘best practices’ in choosing appropriate statistical techniques and reporting results. Statistical hypothesis tests for pairs of samples or groups of samples is support along with a wide range of exploratory plots. STAMP encourages the use of effect sizes and confidence intervals in assessing biological importance. A user friendly, graphical interface permits easy exploration of statistical results and generation of publication quality plots for inferring the biological relevance of features in a metagenomic profile. STAMP is open source, extensible via a plugin framework, and available for all major platforms.
STAMP can be obtained from the Releases page of this GitHub repository.
Further information, including installation and user documentation, can be found here.
The STAMP Google Group can be found here.
STAMP is open source and released under the GNU General Public License v3.0. See LICENSE for further details.