[About the Genepop Web Project] 

Welcome to the Genepop web site! This option uses Genepop version 4.7.5.

Before submitting this form, select your sub-option, parameter settings and output format, then add your datafile. Please note that the datafile size for the web version is limited to 50 loci and 100 populations. If you have a larger datafile, you will need to download the PC version and run it locally.

If you find this site useful please let us know by adding an entry to our guest book. If you have any problems with the site, please submit a bug report.

NOTICE: The Email option is now working again. Thank you for your patience while we worked out the problem.


option1 option2 option3 option4 option5 option6 option7 option8
 
Fst & Other Correlations
 
Allele identity (F-statistics):
1. For all populations
2. For all population pairs
Allele size (Rho-statistics)
3. For all populations
4. For all population pairs
Estimation Ploidy
Diploid
Haploid
Please Note : suboptions 3 & 4 assume allele sizes are proportional to 2-Digit or 3-Digit allele entries in data file
Isolation by distance :
For suboptions 5 and 6, a modified datafile is required - read the help file before using these options. For sub-option 9, first use sub-option 7 or 8 of this menu to create a semi-matrix file, then add the matrix of geographical distances at the end of this file. Paste the matrix file into the input window below, choose sub-option 9 (the Isolde program), fill in the parameters and submit. See the help file for more information.
5. Analysis of isolation by distance between individuals
6. Analysis of isolation by distance between groups
7. Create semi-matrix of Fst estimates
8. Create semi-matrix of Rho estimates
9. Isolation by distance (using Isolde)
Isolation by distance parameters:
Log transformation of geographic distances
Linear geographic distances
     
Convert F-statistics to F/(1-F)-statistics? Yes
No
     
     
Minimum distance between samples to be taken in account for regression?
Number of permutations for Mantel test (set to 0 to ignore):
  Please enter 4 random number generator seeds (0-168) (suboption 9 only) :      
     
Pairwise statistics = â
(default choice for suboption 5)
Pairwise statistics = ê
(alternate choice for suboption 5)
Pairwise statistics = none
(default choice for suboption 6)
Pairwise statistics = SingleGeneDiv
(alternate choice for suboption 6)
     
OUTPUT
Email the results. Address: 
HTML - Plain Text
Data Input
Choose a datafile to upload or paste the datafile into the text box below

Problems with this website should be reported to Dr Ross Graham
Curtin University

Last Modified December 8, 2020