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Translationsnoggrannhet i läsningen mellan tRNA och mRNA: En analys av variationen i den maximala diskrimineringen d i initialselektion
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Statistics.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Statistics.
2015 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

The purpose of this thesis is to analyze the variation in the maximal discrimination of the interaction between cognate and a non-cognate codon and anti-codon (also called the d-value). The variation was analyzed with a multiple regression model with the d-value as the dependent variable and with the codon position and the different mRNA and tRNA bases as independent variables. The result of the analysis not only confirmed earlier studies that the maximal accuracy was highest in the second codon position and lowest in the third codon position but we also found significant relationships and interaction effects.

Place, publisher, year, edition, pages
2015. , 35 p.
Keyword [en]
translation accuracy, initial selection, protein synthesis, ribosome
Keyword [sv]
translationsnoggrannhet, initialselektion, proteinsyntes, ribosom
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:uu:diva-254106OAI: oai:DiVA.org:uu-254106DiVA: diva2:817199
Subject / course
Statistics
Presentation
2015-06-02, B159, Ekonomikum, Kyrkogårdsgatan 10, Uppsala, 15:20 (Swedish)
Supervisors
Examiners
Available from: 2015-06-18 Created: 2015-06-04 Last updated: 2015-06-18Bibliographically approved

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Department of Statistics
Probability Theory and Statistics

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf