Difference between revisions of "STAMP"
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[[Image:RedBlackErrorBar.png|thumb|right|500px|Using STAMP to identify SEED subsystems which are differentially abundant in a pair of iron mine metagenomes (data original described in Edwards et al., 2006).]] | [[Image:RedBlackErrorBar.png|thumb|right|500px|Using STAMP to identify SEED subsystems which are differentially abundant in a pair of iron mine metagenomes (data original described in Edwards et al., 2006).]] | ||
'''St'''atistical '''a'''nalysis of '''m'''etagenomic '''p'''rofiles (STAMP) 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. | '''St'''atistical '''a'''nalysis of '''m'''etagenomic '''p'''rofiles (STAMP) 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. | ||
Revision as of 04:30, 18 November 2009
Statistical analysis of metagenomic profiles (STAMP) 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.
