recipe bioconductor-metagenomeseq

Statistical analysis for sparse high-throughput sequencing

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/metagenomeSeq.html

License:

Artistic-2.0

Recipe:

/bioconductor-metagenomeseq/meta.yaml

Links:

biotools: metagenomeseq, doi: 10.1038/nmeth.2658

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.

package bioconductor-metagenomeseq

Versions:

1.40.0-0,  1.36.0-0,  1.34.0-0,  1.32.0-1,  1.32.0-0,  1.30.0-0,  1.28.0-0,  1.26.2-0,  1.24.1-0, 

1.40.0-0,  1.36.0-0,  1.34.0-0,  1.32.0-1,  1.32.0-0,  1.30.0-0,  1.28.0-0,  1.26.2-0,  1.24.1-0,  1.24.0-0,  1.22.0-0,  1.20.0-0,  1.18.0-0,  1.16.0-0

Depends:

• bioconductor-biobase >=2.58.0,<2.59.0

• bioconductor-limma >=3.54.0,<3.55.0

• bioconductor-wrench >=1.16.0,<1.17.0

• r-base >=4.2,<4.3.0a0

• r-foreach

• r-glmnet

• r-gplots

• r-matrix

• r-matrixstats

• r-rcolorbrewer

Required By:

• bioconductor-benchdamic

• bioconductor-maaslin2

• bioconductor-microbiomedasim

• bioconductor-etec16s

• bioconductor-microbiomemarker

• bioconductor-metavizr

• bioconductor-microbiomeexplorer

• r-metalonda

• bioconductor-msd16s

• maaslin2

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-metagenomeseq

and update with:

conda update bioconductor-metagenomeseq

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-metagenomeseq:<tag>

(see bioconductor-metagenomeseq/tags for valid values for <tag>)

Download stats

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