Also derives defining mutations by contrasting with closest ancestor
1 2 3 4 5 6 7 8 9 10 | cluster_muts(
scanner_env,
nodes = NULL,
mutdata = list.files(patt = "cog_global_[0-9\\-]+_mutations.csv", full.name = TRUE,
path = "../phylolatest/metadata/"),
mut_variable = c("variants", "mutations"),
min_seq_contrast = 1,
overlap_threshold = 0.9,
ncpu = 1
)
|
scanner_env |
output of scanner |
nodes |
integer vector of nodes for which results will be computed. Computes for all nodes in Y if omitted |
mutdata |
path to file or data frame with variant information |
mut_variable |
Name of variable in data frame (spec by mutfn) which contains genetic variant data |
ncpu |
number of CPUs for parallel processing |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.