Provided by: libvcflib-tools_1.0.3+dfsg-1_amd64
bFst –target 0,1,2,3,4,5,6,7 –background 11,12,13,16,17,19,22 –file my.vcf –deltaaf 0.1
bFst is a Bayesian approach to Fst. Importantly bFst accounts for genotype uncertainty in the model using genotype likelihoods. For a more detailed description see: `A Bayesian approach to inferring population structure from dominant markers’ by Holsinger et al. Molecular Ecology Vol 11, issue 7 2002. The likelihood function has been modified to use genotype likelihoods provided by variant callers. There are five free parameters estimated in the model: each subpopulation’s allele frequency and Fis (fixation index, within each subpopulation), a free parameter for the total population’s allele frequency, and Fst.
Output : 11 columns : 1. Seqid 2. Position 3. Observed allele frequency in target. 4. Estimated allele frequency in target. 5. Observed allele frequency in background. 6. Estimated allele frequency in background. 7. Observed allele frequency combined. 8. Estimated allele frequency in combined. 9. ML estimate of Fst (mean) 10. Lower bound of the 95% credible interval 11. Upper bound of the 95% credible interval required: t,target -- a zero bases comma separated list of target individuals corrisponding to VCF columns required: b,background -- a zero bases comma separated list of background individuals corrisponding to VCF columns required: f,file a -- a proper formatted VCF file. the FORMAT field MUST contain "PL" required: d,deltaaf -- skip sites were the difference in allele frequency is less than deltaaf Type: statistics
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Copyright 2011-2022 (C) Erik Garrison and vcflib contributors. MIT licensed.
Erik Garrison and vcflib contributors.