Calypso: a user-friendly web-server for mining and visualizing microbiome-environment interactions

Zakrzewski, Martha, Proietti, Carla, Ellis, Jonathan J., Hasan, Shihab, Brion, Marie-Jo, Berger, Bernard and Krause, Lutz (2017) Calypso: a user-friendly web-server for mining and visualizing microbiome-environment interactions. Bioinformatics, 33 5: 782-783. doi:10.1093/bioinformatics/btw725


Author Zakrzewski, Martha
Proietti, Carla
Ellis, Jonathan J.
Hasan, Shihab
Brion, Marie-Jo
Berger, Bernard
Krause, Lutz
Title Calypso: a user-friendly web-server for mining and visualizing microbiome-environment interactions
Journal name Bioinformatics   Check publisher's open access policy
ISSN 1367-4803
1367-4811
Publication date 2017-03-01
Year available 2017
Sub-type Article (original research)
DOI 10.1093/bioinformatics/btw725
Open Access Status PMC
Volume 33
Issue 5
Start page 782
End page 783
Total pages 2
Place of publication Oxford, United Kingdom
Publisher Oxford University Press
Language eng
Subject 2613 Statistics and Probability
1303 Biochemistry
1312 Molecular Biology
1706 Computer Science Applications
1703 Computational Theory and Mathematics
2605 Computational Mathematics
Abstract Calypso is an easy-to-use online software suite that allows non-expert users to mine, interpret and compare taxonomic information from metagenomic or 16S rDNA datasets. Calypso has a focus on multivariate statistical approaches that can identify complex environment-microbiome associations. The software enables quantitative visualizations, statistical testing, multivariate analysis, supervised learning, factor analysis, multivariable regression, network analysis and diversity estimates. Comprehensive help pages, tutorials and videos are provided via a wiki page.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
UQ Diamantina Institute Publications
Admin Only - UQ Diamantina Institute
 
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