Selection on Finite Sites under COmplex Demographic Events (SFS_CODE) is a flexible forward population genetic simulation program. With this program, you can simulate several linked or unlinked loci (both coding and non-coding, sex and autosomal) in a general island model with complex demographic histories under a wide range of mutation models and selective effects. A full description of the options available in SFS_CODE are available here. The source code and further information can be obtained from the project website. If you have any questions, please email Ryan Hernandez (rhernandez@uchicago.edu).

Calculations will be carried out on the BioHPC compute cluster at CBSU. You will receive e-mail notifications when the job is submitted, when it starts, and when it is finished. Output will be available via links embedded in the notification e-mails. For more information about this program and BioHPC interface in general, please visit our Frequently Asked Questions page.

You will need to supply a name for the job, command-line options, and specify the number of processors the job will be run on. Upon job completion, the output file will be available for htpp and ftp download via a link in a notification e-mail. During the run, you will be able to monitor the job's progress through a special link in notification emails.

Please acknowledge us in all publications and presentation of work that used our resources using the following text.

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E-mail:   (only guests need to use this field, registered users should log in)

Job name:   

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Total number of populations (Npop):
Iterations per process (Niter):
Repetitions (Nrep):

(total number of simulations performed = Nrep*Niter)

Enter command line options (no newlines or special characters, please!)
Exclude program name and any information provided above. Options --outfile (-o) and --seed (-s) will be supplied automatically and may be omitted.

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Maximum number of processors to use 
(lowering the number of processors may allow the job to start sooner, but it will increase the time of the calculation)

Cluster: Autocbsum1cbsum2k8cbsum2   ( Show timeout info )