ANGSD: Analysis of next generation Sequencing Data

Latest tar.gz version is (0.938/0.939 on github), see Change_log for changes, and download it here.

Fst PCA: Difference between revisions

From angsd
Jump to navigation Jump to search
No edit summary
No edit summary
 
Line 5: Line 5:
https://github.com/mfumagalli/ngsTools
https://github.com/mfumagalli/ngsTools


 
=Fst=
=Old nice version=
==Fst==
# Generate .saf files from each population using ANGSD [[SFS Estimation]]
# Generate .saf files from each population using ANGSD [[SFS Estimation]]
## using a 2D-SFS as a prior, estimated using ngs2dSFS
## using a 2D-SFS as a prior, estimated using ngs2dSFS
## using marginal spectra as priors, estimated using '''realSFS'''
## using marginal spectra as priors, estimated using '''realSFS'''


==PCA==
=PCA=
More information here:
More information here:
https://github.com/mfumagalli/ngsTools#ngscovar
https://github.com/mfumagalli/ngsTools#ngscovar

Latest revision as of 16:21, 30 July 2015

THIS PAGE IS OBSOLETE, PLEASE SEE FST AND PCA in the sidebar for the latest versions

Matteo Fumagalli has been working on methods to estimate Fst and doing PCA/Covariance based on ANGSD output files.

The main documentation for this is found here: https://github.com/mfumagalli/ngsTools

Fst

  1. Generate .saf files from each population using ANGSD SFS Estimation
    1. using a 2D-SFS as a prior, estimated using ngs2dSFS
    2. using marginal spectra as priors, estimated using realSFS

PCA

More information here: https://github.com/mfumagalli/ngsTools#ngscovar

cite

If you use these methods, you should cite the m. fumagalli paper http://www.ncbi.nlm.nih.gov/pubmed/23979584