Please use this identifier to cite or link to this item: http://univ-bejaia.dz/dspace/123456789/19011
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dc.contributor.authorKamel, Mohamed-
dc.contributor.authorTari, Abdelkamel ; directeur de thèse-
dc.date.accessioned2022-05-26T10:34:54Z-
dc.date.available2022-05-26T10:34:54Z-
dc.date.issued2022-
dc.identifier.urihttp://hdl.handle.net/123456789/19011-
dc.descriptionOption : Cloud Computingen_US
dc.description.abstracthort tandem repeats and homorepeats are considered as low complexity regions (LCRs) which have special properties that are very differen tfro mthos eo fglobula rproteins .Th erule stha tdefi neseconda rystructure elements do not apply when the distribution of amino acids becomes biased. While there is a tendency towards structural disorder in LCRs, various examples, and particularly homorepeats of single amino acids, suggest that very short repeats could adopt structures very difficu lt topredict. For these reasons, we have developed an algorithm to quickly analyze local repeatability along protein sequences, that is, how close a protein fragment is from a perfect repeat. Our method (REpeatability Scanner, RES, accessible at http://cbdm-01.zdv.uni-mainz.de/~munoz/res/) allows to fin dregion swit happroximat eshor trepeat si nprotei nsequences ,an dhelp st ocharacteriz eth evariable use of LCRs and compositional bias.en_US
dc.language.isoenen_US
dc.publisherUniversité Abderrahmane Mira- Bejaiaen_US
dc.subjectAmino acid short tandem repeats : Low complexity regions : Computational detection of sequence repeats :Homorepeats : Repeatabilityen_US
dc.titleContribution to Bioinformatics search algorithms.en_US
dc.typeThesisen_US
Appears in Collections:Thèses de Doctorat

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