- 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:
1.16.0-0
,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
,1.16.0-0
,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:
bioconductor-stringdb
>=2.10.0,<2.11.0
r-base
>=4.2,<4.3.0a0
- Required By:
Installation
With an activated Bioconda channel (see 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>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-xina/README.html)