nodeadd | R Documentation |
Add annotation information to network nodes
nodeadd(plotcord = node, otu_table = otu_table, tax_table = tax_table)
plotcord |
The coordinate information of node OTU |
otu_table |
Relative abundance of node OTU |
tax_table |
Species annotation information of the node OTU |
list
Contact: Tao Wen 2018203048@njau.edu.cn Jun Yuan junyuan@njau.edu.cn Penghao Xie 2019103106@njau.edu.cn
Yuan J, Zhao J, Wen T, Zhao M, Li R, Goossens P, Huang Q, Bai Y, Vivanco JM, Kowalchuk GA, Berendsen RL, Shen Q Root exudates drive the soil-borne legacy of aboveground pathogen infection Microbiome 2018,DOI: doi: 10.1186/s40168-018-0537-x
data(ps)
# Calculate the correlation network of microbial community data.Generate 4 lists
result = corMicro (ps = ps,N = 100,r.threshold=0.8,p.threshold=0.05,method = "pearson")
# Extract phyloseq object from result
ps_net = result[[3]]
otu_table = as.data.frame(t(vegan_otu(ps_net)))
Extract tax_table from ps_net
vegan_tax <- function(physeq){
tax <- tax_table(physeq)
return(as(tax,"matrix"))
}
tax_table = as.data.frame(vegan_tax(ps_net))
# Set up OTU grouping
netClu = data.frame(ID = row.names(otu_table),group =rep(1:5,length(row.names(otu_table)))[1:length(row.names(otu_table))] )
netClu$group = as.factor(netClu$group)
# Construct a network layout. Arrange network nodes to different locations according to grouping
result2 = PolygonClusterG (cor = cor,nodeGroup =netClu )
node = result2[[1]]
nodes = nodeadd(plotcord =node,otu_table = otu_table,tax_table = tax_table)
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