Пакунок: q2-dada2 (2020.11.1-3)

[ Source: q2-dada2  ]

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.

Інші пакунки пов'язані з q2-dada2

• dep: python3

  Інтерактивна обʼєктно-орієнтована мова високого рівня (типова версія „python3“)

• 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

  QIIME 2 plugin defining types for microbiome analysis

• dep: qiime

  Quantitative Insights Into Microbial Ecology

• dep: r-base-core

  GNU R core of statistical computation and graphics system

• dep: r-bioc-dada2

  sample inference from amplicon sequencing data

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