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.

Beagle input: Difference between revisions

From angsd
Jump to navigation Jump to search
No edit summary
Line 3: Line 3:
; -doGlf 2
; -doGlf 2


In order to make this file the major and minor allele has the be inferred (-doMajorMinor). It is also a good idea to only use the polymorphic sites.
In order to make this file the major and minor allele has the be inferred (-doMajorMinor). It is also a good idea to only use the polymorphic sites, see [[Filter Output]].





Revision as of 13:22, 10 October 2012

Beagle haplotype imputation and be performed directly on genotype likelhoods. To generate beagle input file use

-doGlf 2

In order to make this file the major and minor allele has the be inferred (-doMajorMinor). It is also a good idea to only use the polymorphic sites, see Filter Output.


Example

In this example our input files are bam files. We use the samtools genotype likelihood methods. We use 10 threads. We infer the major and minor allele from the likelihoods and estimate the allele frequencies. We test for polymorphic sites and only outbut the ones with are likelhood ratio test statistic of minimum 24 (ca. p-value<1e-6).

./angsd -GL 1 -out genolike -nThreads 10 -doGlf 2 -doMajorMinor 1 -minLRT 24 -doMaf 2 -doSNP 2 -bam bam.filelist

output

The above command generates the file genolike.beagle.gz that can be use as input for the beagle software

marker  allele1 allele2 Ind0    Ind0    Ind0    Ind1    Ind1    Ind1    Ind2    Ind2    Ind2    Ind3    Ind3    Ind3 
1_14000023      1       0       0.941177        0.058822        0.000001        0.799685        0.199918        0.000397        0.666316        0.333155        0.000529 
1_14000072      2       3       0.709983        0.177493        0.112525        0.941178        0.058822        0.000000        0.665554        0.332774        0.001672
1_14000113      0       2       0.855993        0.106996        0.037010        0.333333        0.333333        0.333333        0.799971        0.199989        0.000040 
1_14000202      2       0       0.835380        0.104420        0.060201        0.799685        0.199918        0.000397        0.333333        0.333333        0.333333
...

Note that the above values sum to one per sites for each individuals. This is just a normalization of the genotype likelihoods in order to avoid underflow problems in the beagle software it does not mean that they are genotype probabilities.