Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/28295
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dc.contributor.authorMoura, Gabrielapt_PT
dc.contributor.authorPinheiro, Miguelpt_PT
dc.contributor.authorFreitas, Adelaide Valentept_PT
dc.contributor.authorOliveira, José Luíspt_PT
dc.contributor.authorSantos, Manuel A. S.pt_PT
dc.date.accessioned2020-04-27T13:49:02Z-
dc.date.available2020-04-27T13:49:02Z-
dc.date.issued2007-
dc.identifier.isbn978-1-58829-693-1pt_PT
dc.identifier.urihttp://hdl.handle.net/10773/28295-
dc.description.abstractCodon usage and context are biased in open reading frames (ORFs) of most genomes. Codon usage is largely influenced by biased genome G+C pressure, in particular in prokaryotes, but the general rules that govern the evolution of codon context remain largely elusive. In order to shed new light into this question we have developed computational, statistical and graphical tools for analysis of codon context on an ORFeome wide scale. In here, we describe these methodologies in detail and show how they can be used for analysis of ORFs of any genome sequenced.pt_PT
dc.language.isoengpt_PT
dc.publisherHumana Presspt_PT
dc.relationPOCI/BIA-MIC/55466/04pt_PT
dc.relationinfo:eu-repo/grantAgreement/FCT/SFRH/SFRH%2FBPD%2F7195%2F2001/PTpt_PT
dc.rightsopenAccesspt_PT
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectGenomept_PT
dc.subjectORFeomept_PT
dc.subjectGene primary structurept_PT
dc.subjectCodon contextpt_PT
dc.subjectCodon usagept_PT
dc.titleComputational and statistical methodologies for ORFeome primary structure analysispt_PT
dc.typebookPartpt_PT
dc.description.versionpublishedpt_PT
dc.peerreviewedyespt_PT
degois.publication.firstPage449pt_PT
degois.publication.lastPage462pt_PT
degois.publication.locationUSApt_PT
degois.publication.titleComparative Genomics. Methods in Molecular Biologypt_PT
dc.identifier.doihttps://doi.org/10.1007/978-1-59745-514-5_28pt_PT
dc.identifier.esbn978-1-59745-514-5pt_PT
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