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Useful additions to the QIIME analysis pipeline including tools for data visualization and cluster-computing.

Project description

The QIIME-tools project is a collection of python code and scripts that modifies the original QIIME [1] pipeline by adding or modifying several steps including support for cluster-computing, multiple primer support (eliminate primer bias) [2], enhanced support for species-specific analysis, and additional visualization tools.

Documentation

Full documentation for the scripts and code is available at the QIIME-tools documentation site

Requirements

matplotlib for PCoA plots. Biopython for some sequence and fastq processing, although its use is being phased out. fuzzpy for the otu_calc module. Note that these are not listed as dependencies in the install script because they are not required for all functionality. Install as needed.

Source

The QIIME-tools source is hosted on github.

Citing

A manuscript describing the qiime-tools software is currently in preparation. Until publication, please cite the github repository and the author: Shareef M. Dabdoub.

References

[1] J Gregory Caporaso, et al., QIIME allows analysis of high-throughput community sequencing data. Nature Methods, 2010; doi:10.1038/nmeth.f.303

[2] Kumar PS, et al., Target Region Selection Is a Critical Determinant of Community Fingerprints Generated by 16S Pyrosequencing. PLoS ONE (2011) 6(6): e20956. doi:10.1371/journal.pone.0020956

Project details


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1.1.2

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1.1.1

This version
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1.1.0

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qiime_tools-1.1.0-py2.py3-none-any.whl (42.7 kB) Copy SHA256 hash SHA256 Wheel 2.7 Aug 27, 2014
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