STAMP: Statistical analysis of taxonomic and functional profiles.

Parks, Donovan H., Tyson, Gene W., Hugenholtz, Philip and Beiko, Robert G. (2014) STAMP: Statistical analysis of taxonomic and functional profiles.. Bioinformatics., 30 21: 3123-3124. doi:10.1093/bioinformatics/btu494


Author Parks, Donovan H.
Tyson, Gene W.
Hugenholtz, Philip
Beiko, Robert G.
Title STAMP: Statistical analysis of taxonomic and functional profiles.
Journal name Bioinformatics.   Check publisher's open access policy
ISSN 1367-4803
1367-4811
Publication date 2014-07-23
Year available 2014
Sub-type Editorial
DOI 10.1093/bioinformatics/btu494
Open Access Status DOI
Volume 30
Issue 21
Start page 3123
End page 3124
Total pages 2
Place of publication Oxford, United Kingdom
Publisher Oxford University Press
Language eng
Abstract 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.
Formatted abstract
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.
Keyword Biochemical Research Methods
Biotechnology & Applied Microbiology
Computer Science, Interdisciplinary Applications
Mathematical & Computational Biology
Statistics & Probability
Biochemistry & Molecular Biology
Biotechnology & Applied Microbiology
Computer Science
Mathematical & Computational Biology
Mathematics
Q-Index Code C1
Q-Index Status Provisional Code
Grant ID DP120103498
Institutional Status UQ
Additional Notes epub ahead of print

 
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Created: Fri, 01 Aug 2014, 21:12:10 EST by Mrs Louise Nimwegen on behalf of School of Chemistry & Molecular Biosciences