Пакет: q2-dada2 (2022.11.2-2)

Връзки за q2-dada2

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Външни препратки:

Начална страница [qiime2.org]

Подобни пакети:

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.

Други пакети, свързани с q2-dada2

зависимости

препоръчани

предложени

enhances

dep: python3

interactive high-level object-oriented language (default python3 version)
dep: python3-biom-format

Biological Observation Matrix (BIOM) format (Python 3)
dep: python3-skbio

Python3 data structures, algorithms, educational resources for bioinformatic
dep: q2-types (>= 2022.11.1)

QIIME 2 plugin defining types for microbiome analysis
dep: qiime (>= 2022.11.1)

Quantitative Insights Into Microbial Ecology
dep: r-base-core

GNU R core of statistical computation and graphics system
dep: r-bioc-dada2 (>= 1.24.0+dfsg-2~)

sample inference from amplicon sequencing data
dep: r-cran-optparse

GNU/R Command line option parser

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Архитектура	Големина на пакета	Големина след инсталиране	Файлове
amd64	1 770,9 кБ	2 282,0 кБ	[списък на файловете]