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Computational prediction of functional RNA structures: A study of the animal miRNAome and cis-acting replication elements in enteroviruses

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Defense Thèse de doctorat : Univ. Genève, 2010 - Sc. 4208 - 2010/05/04
Abstract An estimated 5-7% of the human genome is under selection and thus considered to be of functional importance. Protein-coding genes span only 1-2% of the human genome, leaving a considerable portion of functionally important, but often poorly characterized genomic regions. In addition to numerous, but very short regulatory sites, these regions contain conserved non-coding (CNC) sequences, and probably a large amount of non-protein coding RNA (ncRNA) genes. Many of these ncRNAs fold into stable secondary structures, which are indispensable for their function and therefore evolutionary conserved. Based on sequence and structure conservation, I have developed methods to study conserved and stable RNA secondary structures in animal and virus genomes.
Keywords MicroRNAGene predictionComparative genomicsEnterovirusesCis-acting replication elementBioinformaticsDatabase
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URN: urn:nbn:ch:unige-68908
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Thesis (27 MB) - public document Free access
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Research groups Génomique Evolutionnaire Computationnelle (830)
Swiss Institute of Bioinformatics
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GERLACH, Daniel. Computational prediction of functional RNA structures: A study of the animal miRNAome and cis-acting replication elements in enteroviruses. Université de Genève. Thèse, 2010. https://archive-ouverte.unige.ch/unige:6890

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Deposited on : 2010-06-17

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