Open atarauzan opened 6 years ago
I tried the ps3ra = transform_sample_counts(ps, function(x){x / sum(x)}) but it doesn't help :-(
I am also struggling with this. There is this tutorial http://joey711.github.io/phyloseq-demo/Restroom-Biogeography that has been referenced for the issue in the past. There is a section where you merge samples and this is meant to bring the total to 100, however when I perform that command, it pulls out my variable column of interest and won't repair it with the repair code. Any help on either of these issues would be much appreciated.
Chelsea
Hi joey Im tring to creat a nice relative abundance graph for specific genus I used thoes scrips to impost my data and creat the graph but I want that the y anix run between 0 to 100% library("phyloseq"); packageVersion("phyloseq") library("ggplot2"); packageVersion("ggplot2") theme_set(theme_bw())
dataDirectoryPath = "C:/Users/user/Documents/Atara Duc/atara/Abx- Sam (Hila)/OK69/for_R/" biomFile = "otu_table_allmonth_withtaxonomy.biom" fullInputPath = file.path(dataDirectoryPath, biomFile) fullInputPath file.exists(fullInputPath) file.info(fullInputPath)
biom1 = biomformat::read_biom(biom_file = fullInputPath) names(biom1) mp0 <- import_biom ("C:/Users/user/Documents/Atara Duc/atara/Abx- Sam (Hila)/OK69/for_R/new_otu_table_bifi.biom", parseFunction = parse_taxonomy_greengenes)
tax_table(mp0) <- tax_table(mp0)[, 1:7] rank_names(mp0) mp0
qsd = import_qiime_sample_data("C:/Users/user/Documents/Atara Duc/atara/Abx- Sam (Hila)/OK69/for_R/mapping_file_ok69_abx__UPDATE_090817.tsv") mp1 = merge_phyloseq(mp0, qsd) mp1 sample_variables(mp1)
treeFile1 = "C:/Users/user/Documents/Atara Duc/atara/Abx- Sam (Hila)/OK69/for_R/tree.nwk" tree1 = read_tree(treeFile1) tree1 class(tree1)
Add to the data object
mp2 = merge_phyloseq(mp1, tree1) mp2
repseqFile = "C:/Users/user/Documents/Atara Duc/atara/Abx- Sam (Hila)/OK69/for_R/dna-sequences.fasta" bs1 = Biostrings::readDNAStringSet(repseqFile)
Remove non-OTU information from sequence name
names(bs1) <- gsub("\s.+$", "", names(bs1)) sum(names(bs1) %in% taxa_names(mp2))
Add to the data object
mp3 = merge_phyloseq(mp2, bs1) mp3
Easier without loop
saveRDS(mp2, "mp-phyloseq-lab.RDS")
Define object names
mpObjNames = paste0("mp", 0:3)
Define list of the different stages of our object build
mpList = mget(mpObjNames)
Use mapply() function to loop over each object
mapply("saveRDS", mpList, paste0("mp", 0:3, ".RDS"), SIMPLIFY = TRUE) save(list = paste0("mp", 0:3), file = "myObjList.RData") ps = readRDS("mp-phyloseq-lab.RDS") ps
gp.ch = subset_taxa(ps, Genus == "Bifidobacterium") p <- plot_bar(gp.ch, x = "TreatGroup" , fill = "Species") + geom_bar(stat = "identity") + scale_x_discrete("TreatGroup", limits = c("1.Abx_Treatment", "1.Control","6.Abx_Treatment", "6.Control","12.Abx_Treatment", "12.Control","24.Abx_Treatment", "24.Control")) p
Thank you very much Atara