ANGSD: Analysis of next generation Sequencing Data

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Fst PCA: Difference between revisions

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;THIS PAGE IS OBSOLETE, PLEASE SEE FST AND PCA in the sidebar for the latest versions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.
Matteo Fumagalli has been working on methods to estimate Fst and doing PCA/Covariance based on ANGSD output files.


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=Fst=
=Fst=
# Generate .sfs files from each population using ANGSD [[RealSFS]]
# 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 optimSFS
## 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
=cite=
If you use these methods, you should cite the m. fumagalli paper http://www.ncbi.nlm.nih.gov/pubmed/23979584

Latest revision as of 15:21, 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THIS PAGE IS OBSOLETE, PLEASE SEE FST AND PCA in the sidebar for the latest versions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