langholee/XINA: Multiplexes Isobaric Mass Tagged-based Kinetics Data for Network Analysis

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.

Getting started

Package details

AuthorLang Ho Lee <lhlee@bwh.harvard.edu> and Sasha A. Singh <sasingh@bwh.harvard.edu>
Bioconductor views Network Proteomics RNASeq SystemsBiology
MaintainerLang Ho Lee <lhlee@bwh.harvard.edu> and Sasha A. Singh <sasingh@bwh.harvard.edu>
LicenseGPL-3
Version1.5.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("langholee/XINA")
langholee/XINA documentation built on March 17, 2020, 5:23 p.m.