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q2-dada2 package

q2-dada2 2020.11.1-3 source package in Ubuntu

Changelog

q2-dada2 (2020.11.1-3) unstable; urgency=medium

  * Team upload.
  * Depends: python3-biom-format
    Closes: #980281
  * Depends: q2-types, python3-skbio

 -- Andreas Tille <email address hidden>  Wed, 20 Jan 2021 14:35:40 +0100

Upload details

Uploaded by:
Debian Med
Uploaded to:
Sid
Original maintainer:
Debian Med
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

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q2-dada2_2020.11.1-3.dsc 2.0 KiB 92932b7893a10291f25e70f6ff02c420564f79d3c52f0c4984fcc3eb5d0ac02a
q2-dada2_2020.11.1.orig.tar.gz 763.0 KiB eff115a1433a6fbfec7841c6e5892d0e626b6c0c949a3ee40355e58f97109bcb
q2-dada2_2020.11.1-3.debian.tar.xz 5.5 KiB 8ad35529536820fb8ef88ccec53b80ff41d3480bfe0595d36e5b47badf47968f

Available diffs

No changes file available.

Binary packages built by this 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.