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Application of a Combined Sequence and Structure Alignment for
 

Summary: Application of a Combined Sequence and
Structure Alignment for
RNA 3D Modeling
Bachelor Thesis
Christian Schudoma
schudoma@zib.de
Summer 2004
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Abstract
The prediction of RNA structure is a major field of bioinformatics research. A framework for
modeling RNA 3D structures based on sequence-to-structure alignment via genetic algorithm
(RAGA) has been designed in a previous work. Due to performance and robustness problems
with the RAGA algorithm it has to be exchanged with a newly developed method: Lagrangian
Relaxed RNA structure alignment (LR-RSA). This thesis describes the necessary modifications
which had to be applied to the framework to embed the new alignment and restore the operative
status of the RNA Threading Framework. Also a validation is given whether the new algorithm
is an acceptable replacement within the RNA 3D structure prediction.
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Contents

  

Source: Andrzejak, Artur - Konrad-Zuse-Zentrum für Informationstechnik Berlin

 

Collections: Computer Technologies and Information Sciences