How to Install and Uninstall q2-sample-classifier Package on Kali Linux

Last updated: May 29,2024

1. Install "q2-sample-classifier" package

Please follow the steps below to install q2-sample-classifier on Kali Linux

$ sudo apt update $ sudo apt install q2-sample-classifier

2. Uninstall "q2-sample-classifier" package

Learn how to uninstall q2-sample-classifier on Kali Linux:

$ sudo apt remove q2-sample-classifier $ sudo apt autoclean && sudo apt autoremove

3. Information about the q2-sample-classifier package on Kali Linux

Package: q2-sample-classifier
Version: 2023.9.0-1
Installed-Size: 858
Maintainer: Debian Med Packaging Team
Architecture: all
Depends: python3:any, python3-distutils, python3-sklearn, qiime (>= 2023.9), q2-types (>= 2023.9), q2-feature-table (>= 2023.9)
Size: 567392
SHA256: 24268afcc1a4e0c98223fe3ef0a1a70bb46595963ba44b01d4373e0cfaa626d1
SHA1: e38ce4d980688d260ece9e60ec859642e789df09
MD5sum: 8cb53a196cea8e82a5511ae5e653aa32
Description: QIIME 2 plugin for machine learning prediction of sample 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.
.
Microbiome studies often aim to predict outcomes or differentiate samples
based on their microbial compositions, tasks that can be efficiently
performed by supervised learning methods. The q2-sample-classifier plugin
makes these methods more accessible, reproducible, and interpretable to
a broad audience of microbiologists, clinicians, and others who wish to
utilize supervised learning methods for predicting sample characteristics
based on microbiome composition or other "omics" data
Description-md5:
Homepage: https://qiime2.org
Section: science
Priority: optional
Filename: pool/main/q/q2-sample-classifier/q2-sample-classifier_2023.9.0-1_all.deb