Résumé
Proteins containing tandem repeats (TRs) are abundant, frequently fold in elongated nonglobular structures and perform vital functions. A number of computational tools have been developed to detect TRs in protein sequences. A blurred boundary between imperfect TR motifs and non-repetitive sequences gave rise to necessity to validate the detected TRs. Tally-2.0 is a scoring tool based on a machine learning approach, which allows to validate the results of TR detection. It was upgraded by using improved training datasets and additional machine learning features. Tally-2.0 performs at a level of 93% sensitivity, 83% specificity and an Area Under the Receiver Operating Characteristic Curve of 95%.