REPETITA specifications


Unique identifier OMICS_10025
Interface Web user interface
Restrictions to use None
Computer skills Basic
Version 1.0
Stability No
Maintained Yes


  • person_outline Silvio Bicciato <>

Publication for REPETITA

REPETITA in publications

PMCID: 4773005
PMID: 26930484
DOI: 10.1371/journal.pone.0150159

[…] pentatomidae family, piezodorus oceanicus (redbanded shield bug) [], and 8 lepidopteran: one from the erebidae family, orgyia australis (red tussock moth) [], 2 from the geometridae family, cleora repetita (grey looper) and ectropis spp. (loopers) [, ], 2 from the noctuidae family, agrotis munda (brown cutworm) [] and chrysodeixis argentifera (tobacco looper) [], 1 from the pyralidae family, […]

PMCID: 3786989
PMID: 24098788
DOI: 10.1371/journal.pone.0076351

[…] combines the prediction of secondary structures and results obtained by different repeat prediction methods. the first step was to identify the correct number of repeated units. radar, trust, and repetita tools revealed different numbers of repeats. a structural alignment of all predicted repeated units was built in order to calculate a consensus pattern and to identify other missing repeats […]

PMCID: 3066209
PMID: 21479274
DOI: 10.1371/journal.pone.0018142

[…] . the secondary structure of lgi1 was predicted using the consensus method . prediction of intrinsic disorder was performed using spritz and the presence of signal peptides assessed with signalp . repetita was used to predict repeat periodicities., in order to reconstruct the phylogeny of the lgis, 105 vertebrate and one branchiostomid epitempin sequences have been automatically extracted […]

PMCID: 2935422
PMID: 20823309
DOI: 10.1093/bioinformatics/btq371

[…] features and statistics-based features of amino acid sequence to improve the classification task. our proposed method is evaluated by comparing to state-of-the-art methods such as hhrepid and repetita. the experimental results show that our algorithm consistently outperforms them in areas under roc curve. at the same false positive rate, the sensitivity of our wavelet method is higher […]

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REPETITA institution(s)
CECAM, Lyon, France; Department of Physics, University of Padova, Italy; Department of Biology, University of Padova, Italy
REPETITA funding source(s)
‘Rientro Dei Cervelli’ grant from the Italian Ministry for education, University and Research (MIUR); PRIN No. 2005027330 in 2005 and PRAT No. CPDA083702

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