XINA
Multiplexes Isobaric Mass Tagged-based Kinetics Data for Network Analysis
Bioconductor version: 3.24 · Package version: 1.31.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("XINA") Details
| Maintainer | Lang Ho Lee <lhlee@bwh.harvard.edu> and Sasha A. Singh <sasingh@bwh.harvard.edu> |
| Author | Lang Ho Lee <lhlee@bwh.harvard.edu> and Sasha A. Singh <sasingh@bwh.harvard.edu> |
| License | GPL-3 |
| Downloads rank | 405 |
| Source branch | devel |
| biocViews | Network, Proteomics, RNASeq, Software, SystemsBiology |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | XINA_1.31.0.tar.gz |
| Windows binary (x86_64) | XINA_1.31.0.zip |
| macOS binary (arm64) | XINA_1.31.0.tgz |
| macOS binary (x86_64) | XINA_1.31.0.tgz |