- recipe bioconductor-xina
Multiplexes Isobaric Mass Tagged-based Kinetics Data for Network Analysis
- Homepage:
- License:
GPL-3
- Recipe:
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:
1.28.0-0,1.24.0-0,1.20.0-0,1.18.0-0,1.16.0-0,1.12.0-0,1.10.0-0,1.8.0-1,1.8.0-0,1.28.0-0,1.24.0-0,1.20.0-0,1.18.0-0,1.16.0-0,1.12.0-0,1.10.0-0,1.8.0-1,1.8.0-0,1.6.0-0,1.4.0-0,1.2.0-1,1.0.1-0,1.0.0-0- Depends:
on bioconductor-stringdb
>=2.22.0,<2.23.0on r-alluvial
on r-base
>=4.5,<4.6.0a0on r-ggplot2
on r-gridextra
on r-igraph
on r-mclust
on r-plyr
- Additional platforms:
Installation¶
You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).
Pixi¶
With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:
pixi global install bioconductor-xina
to add into an existing workspace instead, run:
pixi add bioconductor-xina
In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:
pixi workspace channel add conda-forge
pixi workspace channel add bioconda
Conda¶
With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:
conda install bioconductor-xina
Alternatively, to install into a new environment, run:
conda create -n envname bioconductor-xina
with envname being the name of the desired environment.
Container¶
Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:
docker pull quay.io/biocontainers/bioconductor-xina:<tag>
(see bioconductor-xina/tags for valid values for <tag>).
Integrated deployment¶
Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.
Download stats¶
Link to this page¶
Render an 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-xina/README.html)
