emperor 1.0.3+ds-4 source package in Ubuntu

Changelog

emperor (1.0.3+ds-4) unstable; urgency=medium

  * Team Upload.
  * Add skip-not-installable restriction
  * Move skbio to depends

 -- Nilesh Patra <email address hidden>  Mon, 12 Sep 2022 22:45:56 +0530

Upload details

Uploaded by:
Debian Med
Uploaded to:
Sid
Original maintainer:
Debian Med
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section

Builds

Lunar: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
emperor_1.0.3+ds-4.dsc 2.5 KiB 4f4a274ed0fc80ec9faffe8da805374f382e1fbdd04b17b51fbfc24b6a02c9f8
emperor_1.0.3+ds.orig.tar.xz 17.1 MiB 32d2b77b7f3c6aa425a5fe6e77e2441c5bf319fd71c971269f82ce7d8e4f529e
emperor_1.0.3+ds-4.debian.tar.xz 5.9 KiB 135922db3ab948231e5d93509671d12c0df4f16720cfb0d605c27aaa6b4c953c

Available diffs

No changes file available.

Binary packages built by this source

python3-emperor: 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.

python3-emperor-doc: 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.