python-biom-format 2.1.8+dfsg-1ubuntu2 source package in Ubuntu

Changelog

python-biom-format (2.1.8+dfsg-1ubuntu2) focal; urgency=medium

  * No-change rebuild to drop python3.7.

 -- Matthias Klose <email address hidden>  Tue, 18 Feb 2020 10:22:34 +0100

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Uploaded by:
Matthias Klose
Uploaded to:
Focal
Original maintainer:
Ubuntu Developers
Architectures:
any-amd64 any-arm64 any-i386 any-mips64el any-ppc64el armel armhf mipsel all
Section:
python
Urgency:
Medium Urgency

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Series Pocket Published Component Section
Focal release universe python

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python-biom-format_2.1.8+dfsg.orig.tar.xz 8.1 MiB bf79515be9cf2ff061bf3aa44ab7a46124590099e8af67b8044edb93b3bd2610
python-biom-format_2.1.8+dfsg-1ubuntu2.debian.tar.xz 9.3 KiB d268d95580f67b85cebbbd6e361a11baf80d3ad5196a2195cfb6078764e36c1e
python-biom-format_2.1.8+dfsg-1ubuntu2.dsc 2.6 KiB 80067405ff38d8fd2b6d4059d58bd61af023b1930b3233165fc669eba8e2b603

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Binary packages built by this source

python-biom-format-doc: documentation for BIOM format

 The BIOM file format (canonically pronounced biome) is designed to be a
 general-use format for representing biological sample by observation
 contingency tables. BIOM is a recognized standard for the Earth
 Microbiome Project and is a Genomics Standards Consortium candidate
 project.
 .
 The BIOM format is designed for general use in broad areas of
 comparative -omics. For example, in marker-gene surveys, the primary use
 of this format is to represent OTU tables: the observations in this case
 are OTUs and the matrix contains counts corresponding to the number of
 times each OTU is observed in each sample. With respect to metagenome
 data, this format would be used to represent metagenome tables: the
 observations in this case might correspond to SEED subsystems, and the
 matrix would contain counts corresponding to the number of times each
 subsystem is observed in each metagenome. Similarly, with respect to
 genome data, this format may be used to represent a set of genomes: the
 observations in this case again might correspond to SEED subsystems, and
 the counts would correspond to the number of times each subsystem is
 observed in each genome.
 .
 This package provides the documentation for the BIOM format Python package.

python3-biom-format: Biological Observation Matrix (BIOM) format (Python 3)

 The BIOM file format (canonically pronounced biome) is designed to be a
 general-use format for representing biological sample by observation
 contingency tables. BIOM is a recognized standard for the Earth
 Microbiome Project and is a Genomics Standards Consortium candidate
 project.
 .
 The BIOM format is designed for general use in broad areas of
 comparative -omics. For example, in marker-gene surveys, the primary use
 of this format is to represent OTU tables: the observations in this case
 are OTUs and the matrix contains counts corresponding to the number of
 times each OTU is observed in each sample. With respect to metagenome
 data, this format would be used to represent metagenome tables: the
 observations in this case might correspond to SEED subsystems, and the
 matrix would contain counts corresponding to the number of times each
 subsystem is observed in each metagenome. Similarly, with respect to
 genome data, this format may be used to represent a set of genomes: the
 observations in this case again might correspond to SEED subsystems, and
 the counts would correspond to the number of times each subsystem is
 observed in each genome.
 .
 This package provides the BIOM format library for the Python 3 interpreter.

python3-biom-format-dbgsym: No summary available for python3-biom-format-dbgsym in ubuntu groovy.

No description available for python3-biom-format-dbgsym in ubuntu groovy.