python-biom-format 2.1.10-4 source package in Ubuntu

Changelog

python-biom-format (2.1.10-4) unstable; urgency=medium

  * Team upload
  * The h5py issue appears to be solved, so enable builds on
    all architectures again to fix lefse autopkgtest on s390x

 -- Graham Inggs <email address hidden>  Mon, 11 Apr 2022 19:47:14 +0000

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

See full publishing history Publishing

Series Pocket Published Component Section
Kinetic release universe python

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python-biom-format_2.1.10-4.dsc 2.4 KiB beac0358b21b6a0b2eeb90507e84aba24fed943ad998a26883d1a5c7e1a44c60
python-biom-format_2.1.10.orig.tar.xz 8.1 MiB f7c33d43dc975292bef8bd36c1853fd6aa6bb3b9fe2fd208d71afd6c70d62e86
python-biom-format_2.1.10-4.debian.tar.xz 26.3 KiB 59393a48dc9461884b58ba3f4f38bc2cd13b6c7d06cb0d1ed7dcae83df0a63bf

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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: debug symbols for python3-biom-format