How to Install and Uninstall q2-dada2 Package on Kali Linux
Last updated: December 23,2024
1. Install "q2-dada2" package
This is a short guide on how to install q2-dada2 on Kali Linux
$
sudo apt update
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$
sudo apt install
q2-dada2
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2. Uninstall "q2-dada2" package
This tutorial shows how to uninstall q2-dada2 on Kali Linux:
$
sudo apt remove
q2-dada2
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the q2-dada2 package on Kali Linux
Package: q2-dada2
Version: 2023.9.0-1
Installed-Size: 2282
Maintainer: Debian Med Packaging Team
Architecture: amd64
Depends: python3:any, r-base-core, r-bioc-dada2 (>= 1.24.0+dfsg-2~), r-cran-optparse, qiime (>= 2023.9), q2-types (>= 2023.9), python3-biom-format, python3-skbio
Size: 1813488
SHA256: f2910aad6ed4879cee22861c64c1ebe94a8aa7919fc40835cb4d41fe0a16248a
SHA1: 27554ecd94a3a7bace0c46ff7733eb748320d036
MD5sum: ff940482628591f807c17ce85fb63582
Description: QIIME 2 plugin to work with adapters in sequence data
QIIME 2 is a powerful, extensible, and decentralized microbiome analysis
package with a focus on data and analysis transparency. QIIME 2 enables
researchers to start an analysis with raw DNA sequence data and finish with
publication-quality figures and statistical results.
Key features:
* Integrated and automatic tracking of data provenance
* Semantic type system
* Plugin system for extending microbiome analysis functionality
* Support for multiple types of user interfaces (e.g. API, command line,
graphical)
.
QIIME 2 is a complete redesign and rewrite of the QIIME 1 microbiome analysis
pipeline. QIIME 2 will address many of the limitations of QIIME 1, while
retaining the features that makes QIIME 1 a powerful and widely-used analysis
pipeline.
.
QIIME 2 currently supports an initial end-to-end microbiome analysis pipeline.
New functionality will regularly become available through QIIME 2 plugins. You
can view a list of plugins that are currently available on the QIIME 2 plugin
availability page. The future plugins page lists plugins that are being
developed.
.
This package wraps the dada2 R package in BioConductor for modeling and
correcting Illumina-sequenced amplicon errors. This was shown to improve the
sensitivity of diversity analyses.
Description-md5:
Homepage: https://qiime2.org/
Section: science
Priority: optional
Filename: pool/main/q/q2-dada2/q2-dada2_2023.9.0-1_amd64.deb
Version: 2023.9.0-1
Installed-Size: 2282
Maintainer: Debian Med Packaging Team
Architecture: amd64
Depends: python3:any, r-base-core, r-bioc-dada2 (>= 1.24.0+dfsg-2~), r-cran-optparse, qiime (>= 2023.9), q2-types (>= 2023.9), python3-biom-format, python3-skbio
Size: 1813488
SHA256: f2910aad6ed4879cee22861c64c1ebe94a8aa7919fc40835cb4d41fe0a16248a
SHA1: 27554ecd94a3a7bace0c46ff7733eb748320d036
MD5sum: ff940482628591f807c17ce85fb63582
Description: QIIME 2 plugin to work with adapters in sequence data
QIIME 2 is a powerful, extensible, and decentralized microbiome analysis
package with a focus on data and analysis transparency. QIIME 2 enables
researchers to start an analysis with raw DNA sequence data and finish with
publication-quality figures and statistical results.
Key features:
* Integrated and automatic tracking of data provenance
* Semantic type system
* Plugin system for extending microbiome analysis functionality
* Support for multiple types of user interfaces (e.g. API, command line,
graphical)
.
QIIME 2 is a complete redesign and rewrite of the QIIME 1 microbiome analysis
pipeline. QIIME 2 will address many of the limitations of QIIME 1, while
retaining the features that makes QIIME 1 a powerful and widely-used analysis
pipeline.
.
QIIME 2 currently supports an initial end-to-end microbiome analysis pipeline.
New functionality will regularly become available through QIIME 2 plugins. You
can view a list of plugins that are currently available on the QIIME 2 plugin
availability page. The future plugins page lists plugins that are being
developed.
.
This package wraps the dada2 R package in BioConductor for modeling and
correcting Illumina-sequenced amplicon errors. This was shown to improve the
sensitivity of diversity analyses.
Description-md5:
Homepage: https://qiime2.org/
Section: science
Priority: optional
Filename: pool/main/q/q2-dada2/q2-dada2_2023.9.0-1_amd64.deb