qiime 1.8.0+dfsg-4 source package in Ubuntu

Changelog

qiime (1.8.0+dfsg-4) unstable; urgency=medium


  * d/copyright: Fix missing licenses
    Closes: #758026

 -- Andreas Tille <email address hidden>  Wed, 13 Aug 2014 19:19:10 +0200

Upload details

Uploaded by:
Debian Med on 2014-08-13
Uploaded to:
Sid
Original maintainer:
Debian Med
Architectures:
any all
Section:
science
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Xenial release on 2015-10-22 universe science

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File Size SHA-256 Checksum
qiime_1.8.0+dfsg-4.dsc 2.2 KiB ad0fa33e6f2047613dca4ebd343f696c5824eb38b6d63cb8709903df930ea00e
qiime_1.8.0+dfsg.orig.tar.xz 14.0 MiB cb9572d566a793ebaf47ecca4de0df895a991e97986594554cb927bb48d06a79
qiime_1.8.0+dfsg-4.debian.tar.xz 22.6 KiB 7adc5b7c55546b793e65e118fd4420a6732e18d6de3096c324c3f6c31729af6f

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Binary packages built by this source

qiime: 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.
 With all the underlying tools installed,
 of which not all are yet available in Debian (or any other Linux
 distribution), 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 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.

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