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Calypso: a user-friendly web-server for mining and visualizing microbiome–environment interactions
Author(s) -
Martha Zakrzewski,
Carla Proietti,
Jonathan Ellis,
Shihab Hasan,
MarieJo Brion,
Bernard Berger,
Lutz Krause
Publication year - 2016
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/btw725
Subject(s) - perl , computer science , software , java , suite , software suite , source code , interface (matter) , metagenomics , multivariate statistics , web server , world wide web , python (programming language) , web application , data mining , the internet , machine learning , operating system , biology , biochemistry , archaeology , bubble , maximum bubble pressure method , gene , history
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.

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