Difference between revisions of "STAMP"
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STAMP ('''St'''atistical '''a'''nalysis of '''m'''etagenomic '''p'''rofiles) is a software package for analyzing metagenomic profiles that promotes ‘best practices’ in choosing appropriate statistical techniques and reporting results. It 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 relevancy of features in a metagenomic profile. STAMP is open source, extensible via a plugin framework, and available for all major platforms. | STAMP ('''St'''atistical '''a'''nalysis of '''m'''etagenomic '''p'''rofiles) is a software package for analyzing metagenomic profiles that promotes ‘best practices’ in choosing appropriate statistical techniques and reporting results. It 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 relevancy of features in a metagenomic profile. STAMP is open source, extensible via a plugin framework, and available for all major platforms. | ||
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| + | == Citing STAMP == | ||
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| + | Please cite STAMP if you use it in your work. Currently the best citation for STAMP is: | ||
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| + | Parks, D.H. and Beiko, R.G. | ||
Revision as of 04:34, 18 November 2009
STAMP (Statistical analysis of metagenomic profiles) is a software package for analyzing metagenomic profiles that promotes ‘best practices’ in choosing appropriate statistical techniques and reporting results. It 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 relevancy of features in a metagenomic profile. STAMP is open source, extensible via a plugin framework, and available for all major platforms.
Citing STAMP
Please cite STAMP if you use it in your work. Currently the best citation for STAMP is:
Parks, D.H. and Beiko, R.G.
