Source: python-biom-format Maintainer: Debian Med Packaging Team Uploaders: Andreas Tille Section: python Testsuite: autopkgtest-pkg-python Priority: optional Build-Depends: debhelper (>= 12~), dh-python, cython, python-dev, python-numpy, python-scipy, python-h5py, help2man, python-click, python-cogent, python-future, python-nose, python-pandas, python-setuptools, bash-completion, cython3, python3-all-dev, python3-click, python3-future, python3-h5py, python3-nose, python3-numpy, python3-pandas, python3-setuptools, python3-scipy, python3-sphinx Standards-Version: 4.3.0 Vcs-Browser: https://salsa.debian.org/med-team/python-biom-format Vcs-Git: https://salsa.debian.org/med-team/python-biom-format.git Homepage: http://biom-format.org/ 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} 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}) 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. # This is needed to close bug #919586 #Package: python-biom-format-examples #Architecture: all #Section: doc #Depends: ${misc:Depends}, #Description: examples and test data 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 examples and tests for the BIOM format Python # package.