Source: emperor
Standards-Version: 4.7.4
Maintainer: Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
Uploaders:
 Liubov Chuprikova <chuprikovalv@gmail.com>,
 Steffen Moeller <moeller@debian.org>,
Section: science
Build-Depends:
 debhelper-compat (= 14),
 dh-sequence-python3,
 dh-sequence-sphinxdoc,
 libjs-qunit <!nocheck>,
 node-jsdoc2,
 python3-all,
 python3-click <!nocheck>,
 python3-notebook <!nocheck>,
 python3-numpy <!nocheck>,
 python3-numpydoc,
 python3-pandas <!nocheck>,
 python3-pytest <!nocheck>,
 python3-setuptools,
 python3-skbio <!nocheck>,
 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.
