1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
|
# This file is autogenerated from control.in to update versioned dependencies
Source: q2-dada2
Maintainer: Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
Uploaders: Steffen Moeller <moeller@debian.org>
Section: science
Priority: optional
Build-Depends: debhelper-compat (= 13),
dh-sequence-python3,
python3-all,
python3-setuptools,
qiime (>= 2024.5),
r-bioc-dada2
Standards-Version: 4.6.2
Vcs-Browser: https://salsa.debian.org/med-team/q2-dada2
Vcs-Git: https://salsa.debian.org/med-team/q2-dada2.git
Homepage: https://qiime2.org/
Rules-Requires-Root: no
Package: q2-dada2
Architecture: any
Depends: ${shlibs:Depends},
${misc:Depends},
${python3:Depends},
r-base-core,
r-bioc-dada2 (>= 1.24.0+dfsg-2~),
r-cran-optparse,
qiime (>= 2024.5),
q2-types (>= 2024.5),
python3-biom-format,
python3-skbio
Description: 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.
|
