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
Browse package contents
Package details |
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| Author | Lang Ho Lee <lhlee@bwh.harvard.edu> and Sasha A. Singh <sasingh@bwh.harvard.edu> |
| Bioconductor views | Network Proteomics RNASeq SystemsBiology |
| Maintainer | Lang Ho Lee <lhlee@bwh.harvard.edu> and Sasha A. Singh <sasingh@bwh.harvard.edu> |
| License | GPL-3 |
| Version | 1.5.1 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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