Tally-2.0: upgraded validator of tandem repeat detection in protein sequences
Author(s) -
Vladimir Perović,
Jérémy Leclercq,
Neven Šumonja,
François Richard,
Nevena Veljković,
Andrey V. Kajava
Publication year - 2020
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btaa121
Subject(s) - validator , computer science , mit license , source code , code (set theory) , artificial intelligence , support vector machine , sensitivity (control systems) , annotation , receiver operating characteristic , machine learning , software , pattern recognition (psychology) , data mining , programming language , set (abstract data type) , world wide web , electronic engineering , engineering
Proteins containing tandem repeats (TRs) are abundant, frequently fold in elongated non-globular 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.
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