How to Install and Uninstall python3-biom-format Package on Ubuntu 16.04 LTS (Xenial Xerus)
Last updated: November 07,2024
1. Install "python3-biom-format" package
Here is a brief guide to show you how to install python3-biom-format on Ubuntu 16.04 LTS (Xenial Xerus)
$
sudo apt update
Copied
$
sudo apt install
python3-biom-format
Copied
2. Uninstall "python3-biom-format" package
Here is a brief guide to show you how to uninstall python3-biom-format on Ubuntu 16.04 LTS (Xenial Xerus):
$
sudo apt remove
python3-biom-format
Copied
$
sudo apt autoclean && sudo apt autoremove
Copied
3. Information about the python3-biom-format package on Ubuntu 16.04 LTS (Xenial Xerus)
Package: python3-biom-format
Priority: optional
Section: universe/python
Installed-Size: 1548
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Architecture: amd64
Source: python-biom-format
Version: 2.1.5+dfsg-1
Depends: python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3 (<< 3.6), python3 (>= 3.5~), python3-click, python3-future, python3-scipy, libc6 (>= 2.4)
Suggests: python-biom-format-doc
Filename: pool/universe/p/python-biom-format/python3-biom-format_2.1.5+dfsg-1_amd64.deb
Size: 153426
MD5sum: 953d35f02344c340f4a0d193bb3410ad
SHA1: b1a2ebcc615be9fc6be1e24da2fe75fd4b0652c7
SHA256: bd39a4a2aecbffdda5fc393614f05192ac20631dbd36fbf1ceac4fce3c818dc2
Description-en: 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.
Description-md5: a8e1165fb97cc05bc8c23295225341cd
Homepage: http://biom-format.org/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu
Priority: optional
Section: universe/python
Installed-Size: 1548
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Architecture: amd64
Source: python-biom-format
Version: 2.1.5+dfsg-1
Depends: python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3 (<< 3.6), python3 (>= 3.5~), python3-click, python3-future, python3-scipy, libc6 (>= 2.4)
Suggests: python-biom-format-doc
Filename: pool/universe/p/python-biom-format/python3-biom-format_2.1.5+dfsg-1_amd64.deb
Size: 153426
MD5sum: 953d35f02344c340f4a0d193bb3410ad
SHA1: b1a2ebcc615be9fc6be1e24da2fe75fd4b0652c7
SHA256: bd39a4a2aecbffdda5fc393614f05192ac20631dbd36fbf1ceac4fce3c818dc2
Description-en: 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.
Description-md5: a8e1165fb97cc05bc8c23295225341cd
Homepage: http://biom-format.org/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu