XINA

The software tool "XINA" is for quantitative proteomics experiments, particularly those utilizing isobaric tandem mass tagging approaches. These experiments measure changes in protein abundance across multiple time points in response to various conditions or stimulations. The primary goal is to identify proteins with similar abundance patterns within and across experimental conditions, as these proteins may share common molecular functions related to a given stimulation.
Inspired by isobaric mass tagging methods, XINA allows for the in silico tagging and combination of multiple data sets, enabling the subsequent identification and analysis of coabundance patterns within a single output. This approach transforms inter-data-set comparisons into intra-data-set comparisons. The updated version of XINA goes beyond coabundance profile extraction and incorporates protein-protein interaction databases and integrative resources like KEGG to infer interactors and molecular functions. The tool produces intuitive graphical outputs.