recipe bioconductor-flagme

Analysis of Metabolomics GC/MS Data

Homepage:

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

License:

LGPL (>= 2)

Recipe:

/bioconductor-flagme/meta.yaml

Links:

biotools: flagme, doi: 10.1038/nmeth.3252

Fragment-level analysis of gas chromatography-massspectrometry metabolomics data.

package bioconductor-flagme

Versions:

1.54.0-0,  1.50.0-2,  1.50.0-1,  1.50.0-0,  1.48.0-0,  1.46.0-1,  1.46.0-0,  1.44.0-0,  1.42.0-1, 

1.54.0-0,  1.50.0-2,  1.50.0-1,  1.50.0-0,  1.48.0-0,  1.46.0-1,  1.46.0-0,  1.44.0-0,  1.42.0-1,  1.40.0-1,  1.38.1-0,  1.38.0-0,  1.34.0-0

Depends:

• bioconductor-camera >=1.54.0,<1.55.0

• bioconductor-gcspikelite >=1.36.0,<1.37.0

• bioconductor-xcms >=3.20.0,<3.21.0

• libblas >=3.9.0,<4.0a0

• libgcc-ng >=12

• liblapack >=3.9.0,<4.0a0

• r-base >=4.2,<4.3.0a0

• r-gplots

• r-mass

• r-sparsem

Required By:

Installation

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

conda install bioconductor-flagme

and update with:

conda update bioconductor-flagme

or use the docker container:

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

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

Download stats

Link to this page

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