dadaist2-normalize
dadaist2-normalize - Normalize OTU table using the Rhea protocol. The Rhea protocol (https://lagkouvardos.github.io/Rhea/) is a complete set of scripts to analyse microbiome files.
This wrapper is part of the AutoRhea script bundled with Dadaist2. If used, please, cite the Rhea paper (see below).
Authors
Andrea Telatin and Rebecca Ansorge
Usage
dadaist2-normalize [options] -i TABLE -o OUTDIR
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-i, –input-table FILE
Input file in in PhyloSeq object (R Object)
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-o, –output-outdir DIR
Output directory
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-r, –random-subsampling
Use random subsampling (default: off)
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-f, fixed-value
Normalized using a fixed value (default: minimum)
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-c, –cutoff INT
Normalization cutoff (if –fixed-value is used)
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-n, –n-labels INT
Highlight the INT most undersampled samples
Citation
If you use Rhea in your work please cite/attribute the original publication:
Lagkouvardos I, Fischer S, Kumar N, Clavel T. (2017)
Rhea: a transparent and modular R pipeline for microbial profiling based on 16S rRNA gene amplicons.
PeerJ 5:e2836 https://doi.org/10.7717/peerj.2836
Source code and documentation
This wrapper is part of Dadaist2 freely available at https://quadram-institute-bioscience.github.io/dadaist2 released under the MIT licence. The website contains further DOCUMENTATION.