Source: emperor Standards-Version: 4.7.4 Maintainer: Debian Med Packaging Team Uploaders: Liubov Chuprikova , Steffen Moeller , Section: science Build-Depends: debhelper-compat (= 14), dh-sequence-python3, dh-sequence-sphinxdoc, libjs-qunit , node-jsdoc2, python3-all, python3-click , python3-notebook , python3-numpy , python3-numpydoc, python3-pandas , python3-pytest , python3-setuptools, python3-skbio , python3-sphinx, python3-sphinx-bootstrap-theme, Vcs-Browser: https://salsa.debian.org/med-team/emperor Vcs-Git: https://salsa.debian.org/med-team/emperor.git Homepage: https://biocore.github.io/emperor/ Package: python3-emperor Architecture: all Section: python Depends: libjs-jquery-ui, python3-click, python3-jinja2, python3-numpy, python3-pandas, python3-scipy, python3-skbio, ${misc:Depends}, ${python3:Depends}, Description: visualizing high-throughput microbial community data Emperor is an interactive next generation tool for the analysis, visualization and understanding of high throughput microbial ecology datasets. . Due to its tailor-made graphical user interface, delving into a new dataset to elucidate the patterns hidden in the data, has never been easier. Emperor brings a rich set of customizations and modifications that can be integrated into any QIIME or scikit-bio compliant dataset; with lightweight data files and hardware accelerated graphics, constitutes itself as the state of the art for analyzing N-dimensional data using principal coordinates analysis. Package: python3-emperor-doc Architecture: all Multi-Arch: foreign Section: doc Depends: libjs-bootstrap, libjs-jquery, ${misc:Depends}, ${sphinxdoc:Depends}, Description: visualizing high-throughput microbial community data (coc) Emperor is an interactive next generation tool for the analysis, visualization and understanding of high throughput microbial ecology datasets. . Due to its tailor-made graphical user interface, delving into a new dataset to elucidate the patterns hidden in the data, has never been easier. Emperor brings a rich set of customizations and modifications that can be integrated into any QIIME or scikit-bio compliant dataset; with lightweight data files and hardware accelerated graphics, constitutes itself as the state of the art for analyzing N-dimensional data using principal coordinates analysis. . This package provides the documentation for python3-emperor.