In order to extract a frecuency table from a qiime2 artifact and write It to a tsv output you have to:
rel_freq_table <- read_qza("05.TaxonomyClassification/rel_freq/1_rel_freq_table.qza")
rel_freq_table <- data.frame(rel_freq_table$data)
rel_freq_table <- setDT(rel_freq_table, keep.rownames = TRUE )
colnames(rel_freq_table)[1]<- c( "Feature.ID" )
write.table(rel_freq_table, file = "1_rel_freq_table.tsv", row.names = FALSE, dec = ",")
Now, I have seven qiime2 artifacts
rel_freqs <- c("05.TaxonomyClassification/rel_freq/1_rel_freq_table.qza","05.TaxonomyClassification/rel_freq/2_rel_freq_table.qza",
"05.TaxonomyClassification/rel_freq/3_rel_freq_table.qza","05.TaxonomyClassification/rel_freq/4_rel_freq_table.qza",
"05.TaxonomyClassification/rel_freq/5_rel_freq_table.qza","05.TaxonomyClassification/rel_freq/6_rel_freq_table.qza",
"05.TaxonomyClassification/rel_freq/7_rel_freq_table.qza")
I would like to automatize the process so I only have to run the command once. I have tried with loops and lapply but no luck, does anybody has any idea?
You can write a function and apply it to each file using lapply
:
read_qiime2_write_tsv <- function(filename) {
rel_freq_table <- read_qza(filename)
rel_freq_table <- data.frame(rel_freq_table$data)
rel_freq_table <- setDT(rel_freq_table, keep.rownames = TRUE )
colnames(rel_freq_table)[1]<- c( "Feature.ID" )
write.table(rel_freq_table,
file = paste0(tools::file_path_sans_ext(basename(filename)), '.tsv'),
row.names = FALSE, dec = ",")
}
lapply(rel_freqs, read_qiime2_write_tsv)