Difference between revisions of "Task 3 - Sequence-based predictions"
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In contrast to the vast amount of known protein sequences, information about structure and function is available for only very few proteins. Sequence-based predictions of protein features aim to decrease this gap. Many sequence-based preditiction methods use evolutionary information, i.e. sequence similiarity. Sequence alignments are therefore often a prerequisite for the predictions. |
In contrast to the vast amount of known protein sequences, information about structure and function is available for only very few proteins. Sequence-based predictions of protein features aim to decrease this gap. Many sequence-based preditiction methods use evolutionary information, i.e. sequence similiarity. Sequence alignments are therefore often a prerequisite for the predictions. |
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| + | == Theoretical background talks == |
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| + | The introductory talks will give an introduction to sequence-based protein predictions. In particular: |
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| + | * secondary structure |
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| + | * disorder |
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| + | * transmembrane helices |
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| + | * GO terms |
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Revision as of 00:39, 8 May 2012
Under construction
In contrast to the vast amount of known protein sequences, information about structure and function is available for only very few proteins. Sequence-based predictions of protein features aim to decrease this gap. Many sequence-based preditiction methods use evolutionary information, i.e. sequence similiarity. Sequence alignments are therefore often a prerequisite for the predictions.
Theoretical background talks
The introductory talks will give an introduction to sequence-based protein predictions. In particular:
- secondary structure
- disorder
- transmembrane helices
- GO terms
