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Thesis

Conservation, error and dynamics in protein interaction networks.

Abstract:

The availability of large scale protein interaction networks for several species has motivated many comparative studies in recent years. These studies typically employ network alignment algorithms for the task and use the sequence similarity of proteins to aid the alignment process. In this thesis I use a quantitative measure of protein functional similarity and show that the results are superior to sequence based network alignment. I present a method for module detection that combines result...

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Institution:
University of Oxford
Department:
Mathematical,Physical & Life Sciences Division - Statistics
Role:
Author

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Role:
Supervisor
Publication date:
2011
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
Oxford University, UK
URN:
uuid:15c23000-9c31-4191-a227-d507f2cec558
Local pid:
ora:6611
Language:
English
Keywords:
Subjects:

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