“…Damage-Net was written in the Python coding language with the database backend written in SQL and was compiled to function as an independent program on Windows, Linux and Mac OS. It currently contains the results of 39 publications that investigated various aspects of DNA repair on a large-scale (Supplementary Table 1) [ [13] , [14] , [15] , [16] , [17] , [18] , [19] , [20] , [21] , [22] , [23] , [24] , [25] , [26] , [27] , [28] , [29] , [30] , [31] , [32] , [33] , [34] , [35] , [36] , [37] ], as well as the gene expression and mutation data for 33 cancer sub-types from the TCGA database. The proteomic datasets were all selected from peer-reviewed publications that investigated aspects of the DNA damage-response.…”