phyloseq is a set of classes, wrappers, and tools (in R) to make it easier to import, store, and analyze phylogenetic sequencing data; and to reproducibly share that data and analysis with others. See the phyloseq front page:
Convert specific columns to numeric in metadata (if necessary)
for (i in 1:56) {
if (!is.numeric(metadata_list[[i]][, 1])) {
metadata_list[[i]][, 1] <- as.numeric(as.character(metadata_list[[i]][, 1]))
}
}
Create empty list to store phyloseq objects
physeq_list <- list()
Loop through data frames and create phyloseq objects
for (i in 1:56) {
Ensure the OTU table is a numeric matrix
asv_matrix <- as.matrix(asv_list[[i]][, -1])
rownames(asv_matrix) <- asv_list[[i]][, 1] # Assuming the first column is the row names/identifiers
head(taxa_names(asv_matrix))
Ensure the taxonomy table is a matrix and the row names match the OTU table
taxa_matrix <- as.matrix(taxa_list[[i]])
rownames(taxa_matrix) <- taxa_list[[i]][, 1] # Assuming the first column is the row names/identifiers
On running Loop through data frames to create phyloseq objects, I encounter following error
Error in validObject(.Object) : invalid class “phyloseq” object:
Component taxa/OTU names do not match.
Taxa indices are critical to analysis.
Try taxa_names()
Need to create a merged phyloseq object for 56 studies
Load necessary libraries
library(phyloseq)
metadata <- "C:/Users/Saesha Verma/OneDrive/Desktop/Analysis/Metadata_table" asv <- "C:/Users/Saesha Verma/OneDrive/Desktop/Analysis/ASV_table" taxa <- "C:/Users/Saesha Verma/OneDrive/Desktop/Analysis/Taxa_table"
Create empty lists to store data
metadata_list <- list() asv_list <- list() taxa_list <- list()
Loop through files in each directory
for (i in 1:56) {
Construct file paths
metadata_file <- paste0(metadata, "/Study", i, ".csv") asvfile <- paste0(asv, "/ASVtable.SILVA.16S", i, ".csv") taxa_file <- paste0(taxa, "/Taxadata", i, ".csv")
Read files
metadata_list[[i]] <- read.csv(metadata_file, header = TRUE, sep = ",") asv_list[[i]] <- read.csv(asv_file, header = TRUE, sep = ",") taxa_list[[i]] <- read.csv(taxa_file, header = TRUE, sep = ",")
Convert ASV data to numeric, excluding the first column if it's a row name or identifier
asv_list[[i]][, -1] <- lapply(asv_list[[i]][, -1], as.numeric) }
Convert specific columns to numeric in metadata (if necessary)
for (i in 1:56) { if (!is.numeric(metadata_list[[i]][, 1])) { metadata_list[[i]][, 1] <- as.numeric(as.character(metadata_list[[i]][, 1])) } }
Create empty list to store phyloseq objects
physeq_list <- list()
Loop through data frames and create phyloseq objects
for (i in 1:56) {
Ensure the OTU table is a numeric matrix
asv_matrix <- as.matrix(asv_list[[i]][, -1]) rownames(asv_matrix) <- asv_list[[i]][, 1] # Assuming the first column is the row names/identifiers head(taxa_names(asv_matrix))
Ensure the taxonomy table is a matrix and the row names match the OTU table
taxa_matrix <- as.matrix(taxa_list[[i]]) rownames(taxa_matrix) <- taxa_list[[i]][, 1] # Assuming the first column is the row names/identifiers
Create phyloseq object
phyloseq_1 <- phyloseq( otu_table(asv_matrix, taxa_are_rows = TRUE), sample_data(metadata_list[[i]]), tax_table(as.matrix(taxa_list[[i]])) )
Assign the phyloseq object to the list
phyloseq_list[[i]] <- phyloseq_1 }
Name each phyloseq object in the list
names(physeqlist) <- paste0("physeq", 1:56)
On running Loop through data frames to create phyloseq objects, I encounter following error Error in validObject(.Object) : invalid class “phyloseq” object: Component taxa/OTU names do not match. Taxa indices are critical to analysis. Try taxa_names()
Need to create a merged phyloseq object for 56 studies