ANGSD: Analysis of next generation Sequencing Data
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(Created page with "==ML estimator with known minor== First infer the Major and Minor allele and then use BFGS (-doMaf 1) optimazation or the EM algorithm (...") |
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<math> | <math> | ||
P(D|M,f) = \prod_i P(D_i|M,f) = \sum_m \sum_{A_1,A_2} P(D_i|G=A_1A_2)p(G=A_1A_2|m,M)p(m), | P(D|M,f) = \prod_i P(D_i|M,f) = \prod_i \sum_m \sum_{A_1,A_2} P(D_i|G=A_1A_2)p(G=A_1A_2|m,M)p(m), | ||
</math> | </math> |
Revision as of 18:49, 15 December 2014
ML estimator with known minor
First infer the Major and Minor allele and then use BFGS (-doMaf 1) optimazation or the EM algorithm (-doMaf 2) to estimate the allele frequencies.
ML estimator with unknown minor
First infer the Major allele and then use BFGS (-doMaf 4) optimazation or the EM algorithm (-doMaf 8) to estimate the allele frequencies. Here only the Major allele needs to be known and the uncertaincy of infering the minor allele is modelled.
Let denote the major an minor allele assuming adiallelic site, then the maximum likelihood estimate of this pair is found using the likelihood function