# Load mia R package
library(mia)
# Set file paths for input data
biom_file_path <- "PATH_TO_BIOM_FILE"
sample_meta_file_path <- "PATH_TO_SAMPLE_METADATA_FILE"
tree_file_path <- "PATH_TO_PHYLOGENETIC_TREE_FILE"
# Load data from the biom file into a TreeSummarizedExperiment container
tse <- importBIOM(biom_file_path, prefix.rm = TRUE, rank.from.prefix = TRUE)
# Read sample metadata from file and add column names if necessary
sample_meta <-
read.table(
sample_meta_file_path,
sep = ",",
header = FALSE,
row.names = 1
)
# Add headers for the columns (if they seem to be missing)
colnames(sample_meta) <- c("patient_status", "cohort",
"patient_status_vs_cohort", "sample_name")
# Add sample metadata to colData slot of the TSE object
# Note that the data must be given in a DataFrame format (required for our
# purposes)
colData(tse) <- cbind(colData(tse), DataFrame(sample_meta))
# Read the phylogenetic tree from file and assign it to the rowTree slot of the
# TSE object
tree <- ape::read.tree(tree_file_path)
rowTree(tse) <- tree
# Save the final TSE object as an R data file
saveRDS(tse, file = "OUTPUT_FILE_NAME.rds")
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