BayeScan identifies candidate loci under natural selection, from either dominant (AFLP) or codominant markers (SNP, microsatellites). The method is described in Foll, M. and O. E. Gaggiotti, 2008 Genetics 180(2).

For more details about the BayeScan program, please refer to the BayeScan documentation.

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.

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:    (will be set to the name of input file)

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Upload your input file

number of output:        

thinning interval:       

burn-in length:           

number of pilot runs: 

length of pilot runs:   

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Optional parameters

lower bound for uniform prior on Fis:          higher bound for uniform prior on Fis:   

                                             beta_fis:   m_fis:    sd_fis:   

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Optional output files

Output file for pilot runs:

Output file for allele frequencies:

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