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Source: python-biom-format
Maintainer: Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
Uploaders: Andreas Tille <tille@debian.org>
Section: python
Testsuite: autopkgtest
Priority: optional
Build-Depends: debhelper (>= 10),
dh-python,
cython,
python-dev,
python-numpy,
python-scipy,
python-h5py,
help2man,
python-click,
python-cogent,
python-future,
python-nose,
python-setuptools,
bash-completion,
cython3,
python3-all-dev,
python3-click,
python3-future,
python3-h5py,
python3-nose,
python3-numpy,
python3-setuptools,
python3-scipy,
python-sphinx
Standards-Version: 3.9.8
Vcs-Browser: https://anonscm.debian.org/cgit/debian-med/python-biom-format.git
Vcs-Git: https://anonscm.debian.org/git/debian-med/python-biom-format.git
Homepage: http://biom-format.org/
X-Python-Version: >= 2.6
Package: python-biom-format
Architecture: any-amd64 any-arm64 armel armhf any-i386 any-mips64el mipsel any-ppc64el
Depends: ${python:Depends},
${misc:Depends},
${shlibs:Depends}
Suggests: python-biom-format-doc
Description: Biological Observation Matrix (BIOM) format (Python 2)
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 2 interpreter.
Package: python3-biom-format
Architecture: any-amd64 any-arm64 armel armhf any-i386 any-mips64el mipsel any-ppc64el
Depends: ${misc:Depends},
${python3:Depends},
${shlibs:Depends}
Suggests: python-biom-format-doc
Description: 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.
Package: python-biom-format-doc
Architecture: all
Section: doc
Depends: ${misc:Depends},
${sphinxdoc:Depends}
Breaks: python-biom-format (<= 2.1+dfsg-1)
Replaces: python-biom-format (<= 2.1+dfsg-1)
Description: 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.
Package: biom-format-tools
Architecture: any-amd64 any-arm64 armel armhf any-i386 any-mips64el mipsel any-ppc64el
Section: misc
Depends: ${misc:Depends},
${python3:Depends},
python3-biom-format (= ${binary:Version})
Breaks: python-biom-format (<= 2.1+dfsg-1)
Replaces: python-biom-format (<= 2.1+dfsg-1)
Description: command-line tools 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 command-line tools for the BIOM format Python
package.
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