TRAL
Computational Tool
FAIR Metrics
0 evaluations
General Information
DescriptionTandem repeat annotation library
Homepagehttp://www.vital-it.ch/software/tral
Publications
TRAL: tandem repeat annotation library
Elke Schaper; Alexander Korsunsky; Jūlija Pečerska; Antonio Messina; Riccardo Murri; Heinz Stockinger; Stefan Zoller; Ioannis Xenarios; Maria Anisimova
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
Metrics:
2
Canned Analyses generated by the tool
There are no indexed analyses by this tool at the moment.
Datasets analyzed by the tool
There are no indexed analyses by this tool at the moment.
FAIR Evaluation
Sorry, you must be signed in to evaluate this object.