
Last chance! 50% off unlimited learning
Sale ends in
Process raw results from hsrecombi
, decide which out of
two sets of estimates is more likely and prepare list of final results
editraw(Roh, map1)
final table of results
SNP1
index 1. SNP
SNP2
index 2. SNP
D
maternal LD
fAA
frequency of maternal haplotype 1-1
fAB
frequency of maternal haplotype 1-0
fBA
frequency of maternal haplotype 0-1
fBB
frequency of maternal haplotype 0-0
p1
Maternal allele frequency (allele 1) at SNP1
p2
Maternal allele frequency (allele 1) at SNP2
nfam1
size of genomic family 1
nfam2
size of genomic family 2
error
0 if computations were without error; 1 if EM algorithm did not converge
iteration
number of EM iterations
theta
paternal recombination rate
r2
logL
value of log likelihood function
unimodal
1 if likelihood is unimodal; 0 if likelihood is bimodal
critical
0 if parameter estimates were unique; 1 if parameter estimates were obtained via decision process
locus_Mb
physical distance between SNPs in Mbp
list of raw results from hsrecombi
data.frame containing information on physical map, at least:
SNP
SNP ID
locus_Mb
physical position in Mbp of SNP on chromosomes
Chr
chromosome of SNP
### test data
data(targetregion)
### make list for paternal half-sib families
hap <- makehaplist(daughterSire, hapSire)
### parameter estimates on a chromosome
res <- hsrecombi(hap, genotype.chr)
### post-processing to achieve final and valid set of estimates
final <- editraw(res, map.chr)
Run the code above in your browser using DataLab