tax.fill(data, downstream = TRUE)data, but an updated taxonomy column.downstream == TRUE, the function will start at the
kingdom level and work its way down. Whenever an invalid group is
encountered (i.e. one of "unclassified", "unidentified",
"incertae_sedis", or simply missing, ignoring capitalization),
the last known 'good' group will be substituted in the form
"p__belongs_to_k_Fungi." If downstream == FALSE,
the function will begin at the species level and work up.This example should help clarify: given the taxonomy "k__Fungi; p__unidentified; c__Tremellomycetes", the new taxonomy is as follows (recall that an OTU table is required as input, and will be returned as output; this example simply shows the effect on the taxonomy):
Usually, downstream = TRUE will provide a more useful
output, however if the species is often known for your data, but
other ranks are unknown, downstream = FALSE will provide
a more descriptive taxonomy.
RAM.rank.formattingdata(ITS1)
#\code{filter.OTU} returns a list
otu <- filter.OTU(data=list(ITS1=ITS1), percent=0.001)[[1]]
tax.fill(otu)Run the code above in your browser using DataLab