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Cited by 567

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

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

Open access
Zakrzewski, Martha, Proietti, Carla, Ellis, Jonathan J, Hasan, Shihab, Brion, Marie-Jo, Berger, Bernard, Krause, Lutz·2017·Bioinformatics

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. Availability and Implementation: The web-interface is accessible via http://cgenome.net/calypso/. The software is programmed in Java, PERL and R and the source code is available from Zenodo (https://zenodo.org/record/50931). The software is freely available for non-commercial users. Supplementary information: Supplementary data are available at Bioinformatics online.

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Crossref · 10.1093/bioinformatics/btw725

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Metadata

Authors
Zakrzewski, M., Proietti, C., Ellis, J. J., Hasan, S., Brion, M.-J., Berger, B., & Krause, L.
Venue
Bioinformatics
Published
2016-12-13
Volume
33
Issue
5
Pages
782-783
ISSN
  • 1367-4803 (ISSN-L)
  • 1367-4811
OpenAlex
W2346423776
Cited by
567
References
9
FWCI
25.73
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Calypso: a user-friendly web-server for mining and visualizing microbiome–environment interactions. https://app.cochat.ai/papers/10.1093/bioinformatics/btw725
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Zakrzewski, M., Proietti, C., Ellis, J. J., Hasan, S., Brion, M.-J., Berger, B., & Krause, L. (2017). Calypso: a user-friendly web-server for mining and visualizing microbiome–environment interactions. Bioinformatics. https://doi.org/10.1093/bioinformatics/btw725

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.