python-biom-format 2.1.10-3ubuntu1 source package in Ubuntu

Changelog

python-biom-format (2.1.10-3ubuntu1) jammy; urgency=medium

  * 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>  Thu, 07 Apr 2022 13:01:17 +0000

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Uploaded by:
Graham Inggs
Uploaded to:
Jammy
Original maintainer:
Ubuntu Developers
Architectures:
any all
Section:
python
Urgency:
Medium Urgency

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Series Pocket Published Component Section
Jammy release universe python

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python-biom-format_2.1.10.orig.tar.xz 8.1 MiB f7c33d43dc975292bef8bd36c1853fd6aa6bb3b9fe2fd208d71afd6c70d62e86
python-biom-format_2.1.10-3ubuntu1.debian.tar.xz 26.4 KiB 82444b08a44c8c7a9bc313c96123e09542dde2f17e814ee1b9c8d430712834b7
python-biom-format_2.1.10-3ubuntu1.dsc 2.5 KiB 7ebefdb0941d2a75e7cafa03b78df89c95b1a9bf7524c147b45ab134008cd183

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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