Difference between revisions of "PconsC for Fido"
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| − | |active= | + | |active=no |
|start date=2013-09-07 | |start date=2013-09-07 | ||
| − | |end date= | + | |end date=2014-03-10 |
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| − | + | Hosting the PconsC code by Marcin Skwark et al on the [[Fido]] system for providing PconsC predictions as a service. | |
== Members == | == Members == | ||
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|?field | |?field | ||
}} | }} | ||
| + | |||
| + | Orderers: | ||
| + | * Marcin Skwark (SciLifeLab KI) | ||
| + | * Arne Elofsson (SciLifeLab KI) | ||
| + | |||
| + | Testers: | ||
| + | * Robert Pilstål (LiU) | ||
| + | * Björn Wallner (LiU) | ||
| + | |||
| + | == Features == | ||
| + | ; PredictAll | ||
| + | : Contact prediction from primary sequence, via multiple iterative database homology search. | ||
| + | ; Caching results from successful runs. | ||
| + | : PconsC takes in the order of hours to run, but output files are small and can be cached to disk at little cost, for instant output when re-running predictions. This is useful to avoid overload e.g. should a course decides to use the service as an example. | ||
== Progress == | == Progress == | ||
; 2013-09-14 | ; 2013-09-14 | ||
: First draft for the service opened for requestors on the production system for comments. | : First draft for the service opened for requestors on the production system for comments. | ||
Latest revision as of 12:42, 11 April 2014
| Name | PconsC for Fido |
|---|---|
| Description | Web hosting for PconsC |
| Research project | SeRC: Combination of direct information methods and alignments improves contact prediction. |
| Project financing | SeRC |
| Is active | no |
| Start date | 2013-09-07 |
| End date | 2014-03-10 |
Hosting the PconsC code by Marcin Skwark et al on the Fido system for providing PconsC predictions as a service.
Members
Orderers:
- Marcin Skwark (SciLifeLab KI)
- Arne Elofsson (SciLifeLab KI)
Testers:
- Robert Pilstål (LiU)
- Björn Wallner (LiU)
Features
- PredictAll
- Contact prediction from primary sequence, via multiple iterative database homology search.
- Caching results from successful runs.
- PconsC takes in the order of hours to run, but output files are small and can be cached to disk at little cost, for instant output when re-running predictions. This is useful to avoid overload e.g. should a course decides to use the service as an example.
Progress
- 2013-09-14
- First draft for the service opened for requestors on the production system for comments.
