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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

MaintainerLang Ho Lee <lhlee@bwh.harvard.edu> and Sasha A. Singh <sasingh@bwh.harvard.edu>
AuthorLang Ho Lee <lhlee@bwh.harvard.edu> and Sasha A. Singh <sasingh@bwh.harvard.edu>
LicenseGPL-3
Downloads rank405
Source branchdevel
biocViewsNetwork, Proteomics, RNASeq, Software, SystemsBiology

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageXINA_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
Dependencies

Depends: R (>= 3.5)

Imports: mclust, plyr, alluvial, ggplot2, igraph, gridExtra, tools, grDevices, graphics, utils, STRINGdb

Suggests: knitr, rmarkdown