Thesis
Probabilistic models of RNA secondary structure
- Abstract:
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This thesis develops probabilistic models of RNA secondary structure. The first chapter introduces RNA secondary structure prediction, in particular stochastic context-free grammars (SCFGs), and considers a novel method for automated design of SCFGs. Many SCFGs are found with a similar predictive quality as those commonly used for RNA secondary structure prediction. The second chapter discusses the effect alignment quality, evolutionary distance between sequences, and number of sequences i...
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Funding
+ Engineering and Physical Sciences Research Council
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Funding agency for:
Anderson, J
Bibliographic Details
- Publication date:
- 2013
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- Oxford University, UK
Item Description
- Language:
- English
- Keywords:
- Subjects:
- UUID:
-
uuid:3e58e9d9-c58d-4616-8e88-4082d1ca0e2a
- Local pid:
- ora:7192
- Deposit date:
- 2013-08-16
Related Items
Terms of use
- Copyright holder:
- James Anderson
- Copyright date:
- 2013
- Notes:
- This thesis is not currently available in ORA.
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