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metagenomeSeq : Statistical analysis for sparse high-throughput sequencing

Package: metagenomeSeq
Title: Statistical analysis for sparse high-throughput sequencing
Version: 1.14.2
Date: 2016-04-17
Author: Joseph Nathaniel Paulson, Hisham Talukder, Mihai Pop, Hector Corrada
Bravo
Maintainer: Joseph N. Paulson <jpaulson@jimmy.harvard.edu>
Description: 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.
License: Artistic-2.0
Depends: R (>= 3.0), Biobase, limma, glmnet, methods, RColorBrewer
Suggests: annotate, BiocGenerics, biomformat, knitr, gss, RUnit, vegan,
interactiveDisplay
Imports: parallel, matrixStats, foreach, Matrix, gplots
VignetteBuilder: knitr
URL: https://github.com/nosson/metagenomeSeq/
BugReports: https://github.com/nosson/metagenomeSeq/issues
biocViews: Classification, Clustering, GeneticVariability,
DifferentialExpression, Microbiome, Metagenomics,
Normalization, Visualization, MultipleComparison, Sequencing,
Software
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-05-16 03:51:39 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: Classification, Clustering, DifferentialExpression, GeneticVariability, Metagenomics, Microbiome, MultipleComparison, Normalization, Sequencing, Software, Visualization
12 images, 74 functions, 0 datasets
Reverse Depends: 2