Package: q2-cutadapt (2024.5.0-1)

[ Source: q2-cutadapt  ]

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.

Other Packages Related to q2-cutadapt

• dep: cutadapt

  Clean biological sequences from high-throughput sequencing reads

• dep: pigz

  Parallel Implementation of GZip

• dep: python3

  interactive high-level object-oriented language (default python3 version)

• dep: python3-numpy

  Fast array facility to the Python language (Python 3)

• dep: python3-pandas

  data structures for "relational" or "labeled" data

• dep: q2-types (>= 2024.5)

  QIIME 2 plugin defining types for microbiome analysis

• dep: qiime (>= 2024.5)

  Quantitative Insights Into Microbial Ecology

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Architecture	Package Size	Installed Size	Files
amd64	2,253.5 kB	6,862.0 kB	[list of files]
arm64	2,253.5 kB	6,862.0 kB	[list of files]
mips64el	2,253.5 kB	6,862.0 kB	[list of files]
ppc64el	2,253.5 kB	6,862.0 kB	[list of files]
riscv64	2,253.5 kB	6,862.0 kB	[list of files]