STAMP: statistical analysis of taxonomic and functional profiles | Zendy

Donovan H. Parks | Zendy; Gene W. Tyson | Zendy; Philip Hugenholtz | Zendy; Robert G. Beiko | Zendy

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STAMP: statistical analysis of taxonomic and functional profiles

Author(s) -

Donovan H. Parks,

Gene W. Tyson,

Philip Hugenholtz,

Robert G. Beiko

Publication year - 2014

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btu494

Subject(s) - python (programming language) , computer science , graphical user interface , software , r package , exploratory data analysis , statistical analysis , data mining , source code , software package , information retrieval , programming language , statistics , mathematics

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.

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