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python-biom-format package

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

Changelog

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

  * Team upload

  [ Stefano Rivera ]
  * Patch: Python 3.10 support. (Closes: #1000423)

  [ Andreas Tille ]
  * Ignore one failing test

 -- Graham Inggs <email address hidden>  Fri, 03 Dec 2021 16:21:56 +0000

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Uploaded by:
Debian Med
Uploaded to:
Sid
Original maintainer:
Debian Med
Architectures:
any-amd64 any-arm64 any-i386 any-mips64el any-ppc64el armel armhf mipsel all
Section:
python
Urgency:
Medium Urgency

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python-biom-format_2.1.10-3.dsc 2.5 KiB c9a80ee3f71353df8e37bec944efe55058d72ec2260ac2d017122fcfa2aec1f0
python-biom-format_2.1.10.orig.tar.xz 8.1 MiB f7c33d43dc975292bef8bd36c1853fd6aa6bb3b9fe2fd208d71afd6c70d62e86
python-biom-format_2.1.10-3.debian.tar.xz 26.3 KiB 34216c2ff91781e279459b5da72b1023bf91beeede70154ff58792442a725e1b

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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