Schaper E Korsunsky A Pečerska J Messina A Murri R Stockinger H Zoller S Xenarios I Anisimova M 2015 MOTIVATION Currently, more than 40 sequence tandem repeat detectors are published, providing heterogeneous, partly complementary, partly conflicting results. RESULTS We present TRAL, a tandem repeat annotation library that allows running and parsing of various detection outputs, clustering of redundant or overlapping annotations, several statistical frameworks for filtering false positive annotations, and importantly a tandem repeat annotation and refinement module based on circular profile hidden Markov models (cpHMMs). Using TRAL, we evaluated the performance of a multi-step tandem repeat annotation workflow on 547 085 sequences in UniProtKB/Swiss-Prot. The researcher can use these results to predict run-times for specific datasets, and to choose annotation complexity accordingly. AVAILABILITY AND IMPLEMENTATION TRAL is an open-source Python 3 library and is available, together with documentation and tutorials via http://www.vital-it.ch/software/tral. CONTACT elke.schaper@isb-sib.ch. application/pdf https://sonar.ch/global/documents/253858 eng info:eu-repo/semantics/altIdentifier/doi/10.1093/bioinformatics/btv306 info:eu-repo/semantics/altIdentifier/pmid/25987568 info:eu-repo/semantics/openAccess Bioinformatics (Oxford, England). - 2015 Amino Acid Sequence Cluster Analysis Databases, Protein Documentation Gene Library Humans Knowledge Bases Molecular Sequence Annotation Molecular Sequence Data Software Tandem Repeat Sequences TRAL: tandem repeat annotation library. http://purl.org/coar/resource_type/c_6501