Bioinformatics· 2014Q1
STAMP: statistical analysis of taxonomic and functional profiles
- 4,341citations
- Q1SCImago
- 2014year
Short summary
STAMP is a new graphical software package designed for statistical analysis of taxonomic and functional profiles, offering hypothesis testing and exploratory plots.
AI-generated from the title and abstract; the full text is not read.
Key points
- Offers statistical hypothesis tests for taxonomic and functional profiles.
- Supports comparisons of single pairs or multiple treatment groups.
- Includes effect sizes and confidence intervals for biological relevance assessment.
- Features a graphical interface for easy exploration and plot generation.
AI-generated from the title and abstract; the full text is not read.
Abstract
UNLABELLED: STAMP is a graphical software package that provides statistical hypothesis tests and exploratory plots for analysing taxonomic and functional profiles. It supports tests for comparing pairs of samples or samples organized into two or more treatment groups. Effect sizes and confidence intervals are provided to allow critical assessment of the biological relevancy of test results. A user-friendly graphical interface permits easy exploration of statistical results and generation of publication-quality plots. AVAILABILITY AND IMPLEMENTATION: STAMP is licensed under the GNU GPL. Python source code and binaries are available from our website at: http://kiwi.cs.dal.ca/Software/STAMP.
The authors' abstract, as published at the source. Bioinformatics, 2014 · DOI ↗
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Field: Statistics and Probability
Statistics and ProbabilityMathematics