Doctoral thesis
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English

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

ContributorsGerlach, Daniel
Defense date2010-05-04
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
  • MicroRNA
  • Gene prediction
  • Comparative genomics
  • Enteroviruses
  • Cis-acting replication element
  • Bioinformatics
  • Database
Citation (ISO format)
GERLACH, Daniel. Computational prediction of functional RNA structures: A study of the animal miRNAome and cis-acting replication elements in enteroviruses. Doctoral Thesis, 2010. doi: 10.13097/archive-ouverte/unige:6890
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Creation10/06/2010 13:38:00
First validation10/06/2010 13:38:00
Update time30/03/2023 10:02:33
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