Tally-2.0: upgraded validator of tandem repeat detection in protein sequences

Vladimir Perovic , Jeremy Leclercq (1) , Neven Sumonja , Francois Richard (1) , Nevena Veljkovic , Andrey Kajava (1)

1 CRBM - Centre de recherche en Biologie cellulaire de Montpellier

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%.

Domaines: Bio-informatique [q-bio.QM]

Vladimir Perovic, Jeremy Leclercq, Neven Sumonja, Francois Richard, Nevena Veljkovic, et al.. Tally-2.0: upgraded validator of tandem repeat detection in protein sequences. Bioinformatics, 2020, 36 (10), pp.3260-3262. ⟨10.1093/bioinformatics/btaa121⟩. ⟨hal-03089282⟩