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Statistical analysis for sparse high-throughput sequencing

Bioconductor version: 2.14

metagenomeSeq is designed to determine features (be it Operational Taxanomic Unit (OTU), species, etc.) that are differentially abundant between two or more groups of multiple samples. metagenomeSeq is designed to address the effects of both normalization and under-sampling of microbial communities on disease association detection and the testing of feature correlations.

Author: Joseph Nathaniel Paulson, Mihai Pop, Hector Corrada Bravo

Maintainer: Joseph N. Paulson <jpaulson at>

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PDF R Script metagenomeSeq: statistical analysis for sparse high-throughput sequencing
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Text   NEWS


biocViews DifferentialExpression, Metagenomics, Software, Visualization
Version 1.6.0
In Bioconductor since BioC 2.12 (R-3.0)
License Artistic-2.0
Depends R (>= 3.0), Biobase, limma, matrixStats, methods, RColorBrewer, gplots
Suggests annotate, biom, parallel, vegan, knitr
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