Commit 1ae71cf2 authored by Liubov Chuprikova's avatar Liubov Chuprikova
Browse files

Delete old Qiime dependencies

parent e793cd30
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+7 −0
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qiime (2019.1.0-2) UNRELEASED; urgency=medium

  * Team upload.
  * Delete old Qiime dependencies

 -- Liubov Chuprikova <chuprikovalv@gmail.com>  Tue, 12 Mar 2019 00:13:16 +0200

qiime (2019.1.0-1) unstable; urgency=medium

  [ Andreas Tille ]
+22 −69
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@@ -27,77 +27,30 @@ Depends: ${shlibs:Depends},
         ${python3:Depends},
         python3-bibtexparser,
         python3-decorator,
         python3-matplotlib,
         python3-numpy,
         python3-pandas,
         python3-tzlocal,
         python3-yaml,
         python-burrito,
         python-burrito-fillings (>= 0.1.1),
         python-biom-format,
         python-cogent (>= 1.5.3),
         python-mpi4py,
         python-qcli,
         pynast (>= 1.2.2),
         qiime-data,
         ampliconnoise,
         blast2 | blast+-legacy,
         bwa,
         cd-hit,
         chimeraslayer,
         clearcut,
         clustalw,
         ea-utils,
         emperor (>= 0.9.51),
         fasttree,
         infernal,
         libjs-jquery,
         mafft,
         muscle,
         parsinsert,
         raxml,
         r-cran-optparse,
         rdp-classifier,
         seqprep,
         sortmerna,
         sumatra,
         swarm,
         vsearch
Recommends: mothur,
            rtax
Suggests: t-coffee,
          cytoscape,
          torque-client,
          qiime-default-reference
         python3-pyparsing,
         python3-dateutil
Description: Quantitative Insights Into Microbial Ecology
 QIIME (canonically pronounced ‘Chime’) is a pipeline for performing
 microbial community analysis that integrates many third party tools which
 have become standard in the field. A standard QIIME analysis begins with
 sequence data from one or more sequencing platforms, including
  * Sanger,
  * Roche/454, and
  * Illumina GAIIx.
 QIIME can perform:
  * library de-multiplexing and quality filtering;
  * denoising with PyroNoise;
  * OTU and representative set picking with uclust, cdhit, mothur, BLAST,
    or other tools;
  * taxonomy assignment with BLAST or the RDP classifier;
  * sequence alignment with PyNAST, muscle, infernal, or other tools;
  * phylogeny reconstruction with FastTree, raxml, clearcut, or other tools;
  * alpha diversity and rarefaction, including visualization of results,
    using over 20 metrics including Phylogenetic Diversity, chao1, and
    observed species;
  * beta diversity and rarefaction, including visualization of results,
    using over 25 metrics including weighted and unweighted UniFrac,
    Euclidean distance, and Bray-Curtis;
  * summarization and visualization of taxonomic composition of samples
    using pie charts and histograms
 and many other features.
 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 includes parallelization capabilities for many of the
 computationally intensive steps. By default, these are configured to
 utilize a mutli-core environment, and are easily configured to run in
 a cluster environment. QIIME is built in Python using the open-source
 PyCogent toolkit. It makes extensive use of unit tests, and is highly
 modular to facilitate custom analyses.
 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.