recipe bioconductor-xina

Multiplexes Isobaric Mass Tagged-based Kinetics Data for Network Analysis

Homepage

https://bioconductor.org/packages/3.11/bioc/html/XINA.html

License

GPL-3

Recipe

/bioconductor-xina/meta.yaml

The aim of XINA is to determine which proteins exhibit similar patterns within and across experimental conditions, since proteins with co-abundance patterns may have common molecular functions. XINA imports multiple datasets, tags dataset in silico, and combines the data for subsequent subgrouping into multiple clusters. The result is a single output depicting the variation across all conditions. XINA, not only extracts coabundance profiles within and across experiments, but also incorporates protein-protein interaction databases and integrative resources such as KEGG to infer interactors and molecular functions, respectively, and produces intuitive graphical outputs.

package bioconductor-xina

Versions

1.6.0-0,  1.4.0-0,  1.2.0-1,  1.0.1-0,  1.0.0-0

Depends

• bioconductor-stringdb >=2.0.0,<2.1.0

• r-alluvial

• r-base >=4.0,<4.1.0a0

• r-ggplot2

• r-gridextra

• r-igraph

• r-mclust

• r-plyr

Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-xina

and update with:

conda update bioconductor-xina

or use the docker container:

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

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

Link to this page

Render an badge with the following MarkDown:

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