readRA <- function(file) {
RL = read.delim(file, sep="\t", header = FALSE, stringsAsFactors = FALSE)
OBJ = data.frame(
V1= NA,
V2= NA,
V3= NA,
V4= NA,
V5= NA,
V6= NA,
V7= NA,
V8= NA,
bias_e_value = NA,
bias_p_value= NA,
consensus_score= NA,
fisher_strand_p_value= NA,
frequency= NA,
gene_name= NA,
gene_position= NA,
gene_product= NA,
gene_strand= NA,
ks_quality_p_value= NA,
locus_tag= NA,
major_base= NA,
major_cov= NA,
major_frequency= NA,
minor_base= NA,
minor_cov= NA,
new_cov= NA,
polymorphism_frequency= NA,
polymorphism_score= NA,
prediction= NA,
ref_cov= NA,
snp_type= NA,
total_cov= NA
)
totLines = nrow(RL)
for ( i in 1 : totLines ) {
cat(i,"\n")
line = as.character(RL[i,])
field_values = sapply(strsplit(line,"="),function(s) s[2])
newEntry = c(line[1:8], field_values[9:31])
OBJ = rbind(OBJ, newEntry)
}
OBJ = OBJ[-1,]
return(OBJ)
}
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