Difference between revisions of "Task 3 - Sequence-based predictions"
From Bioinformatikpedia
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* transmembrane helices |
* transmembrane helices |
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* GO terms |
* GO terms |
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| + | == Where to run the jobs == |
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| + | * On your own computers. |
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| + | * You can log in to the student computer pool: <code>i12k-biolab??.informatik.tu-muenchen.de</code>, where ''??'' goes from 01 to 10 |
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| + | * Or work in the student computer pool. |
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Revision as of 00:42, 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
Where to run the jobs
- On your own computers.
- You can log in to the student computer pool:
i12k-biolab??.informatik.tu-muenchen.de, where ?? goes from 01 to 10 - Or work in the student computer pool.
