Structural Signatures (sGES): A Web Tool for Enriching Gene Expression Signatures With Protein Structural Features

SummaryGene Expression Signatures (GES) have become instrumental for describing cellular phenotypes; however, they may have limited reproducibility across datasets. Structural Signatures (sGES) addresses this limitation by integrating protein structural information with GES data to improve signature robustness while reducing feature dimensionality. Here we present sGES, a web server for generating a range of protein features derived from transcriptomics data. sGES can describe biological phenomena ranging from tissue specific steady states to disease and drug perturbations. sGES also provides access to searchable signatures derived from GTEx, ARCHS4, and lung cancer single cell RNA sequencing data. The sGES server tool is freely available at structuralserver.kinametrix.com.