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Using STAMP to identify SEED subsystems which are differentially abundant between Candidatus Accumulibacter phosphatis sequences obtained from a pair of enhanced biological phosphorus removal (EBPR) sludge metagenomes(data originally described in Parks and Beiko, 2010).

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.


  • July 7, 2014: STAMP v2.0.6 released. STAMP v2.0.5 erroneously contained the BIOM v1 library instead of BIOM v2.
  • June 29, 2014: STAMP v2.0.5 released. Improved support for BIOM v2, updated User's Guide, improved handling of large datasets with heat map plots.
  • June 18, 2014: STAMP v2.0.4 released. Migrated to BIOM v2 format.
  • May 24, 2014: STAMP v2.0.3 released. Better support for installation under Ubuntu.
  • Mar. 6, 2014: STAMP v2.0.2 released. Adds support for BIOM profiles including those generated by PICRUSt and QIIME.
  • Feb. 9, 2014: STAMP v2.0.1 released. Adds heatmap plot. Fixes bug in multi-group plots causing DP values to be scaled by an 100.
  • Previous announcements



Please uninstall previous versions of STAMP before installing a new release.


Citing STAMP

If you use STAMP v2+ in your research, we appreciate you citing:

STAMP v1 manuscript:

Contact Information

STAMP is in active development and we are interested in discussing all potential applications of this software. We encourage you to send us suggestions for new features. Suggestions, comments, and bug reports can be sent to Rob Beiko (beiko [at] If reporting a bug, please provide as much information as possible and a simplified version of the data set which causes the bug. This will allow us to quickly resolve the issue.


The development and deployment of STAMP has been supported by several organizations: