How to Install and Uninstall qiime Package on Ubuntu 16.04 LTS (Xenial Xerus)
Last updated: December 29,2024
1. Install "qiime" package
Please follow the step by step instructions below to install qiime on Ubuntu 16.04 LTS (Xenial Xerus)
$
sudo apt update
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$
sudo apt install
qiime
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2. Uninstall "qiime" package
Learn how to uninstall qiime on Ubuntu 16.04 LTS (Xenial Xerus):
$
sudo apt remove
qiime
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the qiime package on Ubuntu 16.04 LTS (Xenial Xerus)
Package: qiime
Priority: extra
Section: universe/science
Installed-Size: 5135
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Architecture: amd64
Version: 1.8.0+dfsg-4
Replaces: denoiser
Provides: denoiser
Depends: libc6 (>= 2.15), libffi6 (>= 3.0.4), libgmp10, python (>= 2.7), python (<< 2.8), pynast (>= 1.2.2), python-cogent (>= 1.5.3), king, python-biom-format (>= 1.2.0), fasttree, python-qcli, libjs-jquery, python-matplotlib, python-numpy
Recommends: blast2 | blast+-legacy, cd-hit, chimeraslayer, muscle, infernal, ampliconnoise, parsinsert, clearcut, qiime-data, python-mpi4py, r-cran-optparse
Suggests: t-coffee, cytoscape, emperor, rdp-classifier, torque-client
Conflicts: denoiser
Filename: pool/universe/q/qiime/qiime_1.8.0+dfsg-4_amd64.deb
Size: 899188
MD5sum: 1c5d7d37202721a90d34d2820812d08e
SHA1: 61d4dd7c2bd86a754d3882d04827a0779337e84d
SHA256: 293b95bc0e5580e93af523cccc9735a9b3f5948517e9203e1c3fac682998ae97
Description-en: Quantitative Insights Into Microbial Ecology
QIIME (canonically pronounced ‘Chime’) is a pipeline for performing
microbial community analysis that integrates many third party tools which
have become standard in the field. A standard QIIME analysis begins with
sequence data from one or more sequencing platforms, including
* Sanger,
* Roche/454, and
* Illumina GAIIx.
With all the underlying tools installed,
of which not all are yet available in Debian (or any other Linux
distribution), QIIME can perform
* library de-multiplexing and quality filtering;
* denoising with PyroNoise;
* OTU and representative set picking with uclust, cdhit, mothur, BLAST,
or other tools;
* taxonomy assignment with BLAST or the RDP classifier;
* sequence alignment with PyNAST, muscle, infernal, or other tools;
* phylogeny reconstruction with FastTree, raxml, clearcut, or other tools;
* alpha diversity and rarefaction, including visualization of results,
using over 20 metrics including Phylogenetic Diversity, chao1, and
observed species;
* beta diversity and rarefaction, including visualization of results,
using over 25 metrics including weighted and unweighted UniFrac,
Euclidean distance, and Bray-Curtis;
* summarization and visualization of taxonomic composition of samples
using pie charts and histograms
and many other features.
.
QIIME includes parallelization capabilities for many of the
computationally intensive steps. By default, these are configured to
utilize a mutli-core environment, and are easily configured to run in
a cluster environment. QIIME is built in Python using the open-source
PyCogent toolkit. It makes extensive use of unit tests, and is highly
modular to facilitate custom analyses.
Description-md5: 739a797250a20c0e8b0b9cbfbf876a62
Homepage: http://www.qiime.org/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu
Priority: extra
Section: universe/science
Installed-Size: 5135
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Architecture: amd64
Version: 1.8.0+dfsg-4
Replaces: denoiser
Provides: denoiser
Depends: libc6 (>= 2.15), libffi6 (>= 3.0.4), libgmp10, python (>= 2.7), python (<< 2.8), pynast (>= 1.2.2), python-cogent (>= 1.5.3), king, python-biom-format (>= 1.2.0), fasttree, python-qcli, libjs-jquery, python-matplotlib, python-numpy
Recommends: blast2 | blast+-legacy, cd-hit, chimeraslayer, muscle, infernal, ampliconnoise, parsinsert, clearcut, qiime-data, python-mpi4py, r-cran-optparse
Suggests: t-coffee, cytoscape, emperor, rdp-classifier, torque-client
Conflicts: denoiser
Filename: pool/universe/q/qiime/qiime_1.8.0+dfsg-4_amd64.deb
Size: 899188
MD5sum: 1c5d7d37202721a90d34d2820812d08e
SHA1: 61d4dd7c2bd86a754d3882d04827a0779337e84d
SHA256: 293b95bc0e5580e93af523cccc9735a9b3f5948517e9203e1c3fac682998ae97
Description-en: Quantitative Insights Into Microbial Ecology
QIIME (canonically pronounced ‘Chime’) is a pipeline for performing
microbial community analysis that integrates many third party tools which
have become standard in the field. A standard QIIME analysis begins with
sequence data from one or more sequencing platforms, including
* Sanger,
* Roche/454, and
* Illumina GAIIx.
With all the underlying tools installed,
of which not all are yet available in Debian (or any other Linux
distribution), QIIME can perform
* library de-multiplexing and quality filtering;
* denoising with PyroNoise;
* OTU and representative set picking with uclust, cdhit, mothur, BLAST,
or other tools;
* taxonomy assignment with BLAST or the RDP classifier;
* sequence alignment with PyNAST, muscle, infernal, or other tools;
* phylogeny reconstruction with FastTree, raxml, clearcut, or other tools;
* alpha diversity and rarefaction, including visualization of results,
using over 20 metrics including Phylogenetic Diversity, chao1, and
observed species;
* beta diversity and rarefaction, including visualization of results,
using over 25 metrics including weighted and unweighted UniFrac,
Euclidean distance, and Bray-Curtis;
* summarization and visualization of taxonomic composition of samples
using pie charts and histograms
and many other features.
.
QIIME includes parallelization capabilities for many of the
computationally intensive steps. By default, these are configured to
utilize a mutli-core environment, and are easily configured to run in
a cluster environment. QIIME is built in Python using the open-source
PyCogent toolkit. It makes extensive use of unit tests, and is highly
modular to facilitate custom analyses.
Description-md5: 739a797250a20c0e8b0b9cbfbf876a62
Homepage: http://www.qiime.org/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu