GOMO 1 Using Comparative Genomics to Associate Transcription Factors with their Roles

Many transcription factors (TFs) are still riddles wrapped up in an enigma with close to noth-ing known about their roles and target genes. In this study, we extend our recently published approach by including sequences from closely related species in order to increase the accuracy of, and confidence in our predictor, called GOMO (Gene Ontology for MOtif). Our case study on four yeast species indicates that comparative genomics significantly increases the prediction accuracy of GOMO to an AUC50 value of 0.65 compared to the best single species performance of 0.58.