dc.creatorMoreira, Andrés
dc.creatorMaass Sepúlveda, Alejandro
dc.date.accessioned2019-03-11T12:55:54Z
dc.date.available2019-03-11T12:55:54Z
dc.date.created2019-03-11T12:55:54Z
dc.date.issued2004
dc.identifierBioinformatics, Volumen 20, Issue 13, 2018, Pages 2148-2149
dc.identifier13674803
dc.identifier10.1093/bioinformatics/bth204
dc.identifierhttps://repositorio.uchile.cl/handle/2250/164547
dc.description.abstractSummary: Several applications require the backtranslation of a protein sequence into a nucleic acid sequence. The degeneracy of the genetic code makes this process ambiguous; moreover, not every translation is equally viable. The usual answer is to mimic the codon usage of the target species; however, this does not capture all the relevant features of the 'genomic styles' from different taxa. The program TIP ('Traducción Inversa de Proteínas') applies genetic algorithms to improve the backtranslation, by minimizing the difference of some coding statistics with respect to their average value in the target. © Oxford University Press 2004; all rights reserved.
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
dc.sourceBioinformatics
dc.subjectStatistics and Probability
dc.subjectBiochemistry
dc.subjectMolecular Biology
dc.subjectComputer Science Applications
dc.subjectComputational Theory and Mathematics
dc.subjectComputational Mathematics
dc.titleTIP: Protein backtranslation aided by genetic algorithms
dc.typeArtículos de revistas


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