DOI: 10.18129/B9.bioc.XINA  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see XINA.

Multiplexes Isobaric Mass Tagged-based Kinetics Data for Network Analysis

Bioconductor version: 3.17

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.

Author: Lang Ho Lee <lhlee at> and Sasha A. Singh <sasingh at>

Maintainer: Lang Ho Lee <lhlee at> and Sasha A. Singh <sasingh at>

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biocViews Network, Proteomics, RNASeq, Software, SystemsBiology
Version 1.18.0
In Bioconductor since BioC 3.8 (R-3.5) (5 years)
License GPL-3
Depends R (>= 3.5)
Imports mclust, plyr, alluvial, ggplot2, igraph, gridExtra, tools, grDevices, graphics, utils, STRINGdb
Suggests knitr, rmarkdown
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