View source: R/ontobayes_profiles.R
ontobayes_profiles | R Documentation |
Builds MrBayes NEXUS files for subsets of characters annotated with ontology anatomy terms based on a chosen profile of terms.
ontobayes_profiles( tags = tags, ids = ids, manual = T, relations = c("part_of", "is_a"), ontology = "data/ontology.obo", dataset = "data/matrix.nex", outgroup = "outroup_taxon", rates = "gamma", coding = "all", ratepr = "fixed", brlenspr = "Unconstrained:Exp(10)", gen = 1e+06, runs = 2, chains = 4, freq = 1000 )
tags |
list, profiles with anatomy ontology terms to query. The list of profiles should be organized as indicated in the examples. |
ids |
data.frame, matches between characters and anatomical entities. The first column should provide character ids in the same order as presented in the character matrix. The second column should provide the respective ontology ids referring to the anatomical entities. The third column should provide the respective ontology terms referring to the anatomical entities. See examples provided in the data folder (data1.csv and data2.csv). |
manual |
logical, if TRUE specify that an ontology file (OBO format) is provided by the user. This option is the only one currently available. Future developments will allow to access Uberon ontology directly using rphenoscape dependencies. |
relations |
character, set the types of ontological relations to use. Default is set to c("part_of", "is_a"). |
ontology |
character, name of the OBO file with the ontology. |
dataset |
character, name of the NEXUS file with the character matrix to be read. |
outgroup |
character, name of the outgroup taxon. |
rates |
character, sets the model of among-character rate variation in the MrBayes commands block. Default is set to "equal". |
coding |
character, sets the coding bias in the MrBayes commands block. Default is set to "all". |
ratepr |
character, sets the character specific or partition specific rates model in the MrBayes commands clock. Default is set to "fixed". |
brlenspr |
character, sets the branch lengths prior in the MrBayes commands block. Deafault is set to "Unconstrained:Exp(10)". |
gen |
integer, sets the number of generations of mcmc in the MrBayes commands block. Default is set to 1000000. |
runs |
integer, sets the number of independent runs of mcmc in the MrBayes commands block. Default is set to 2. |
chains |
integer, sets the number of chains for each run in the MrBayes commands block. Default is set to 4. |
freq |
integer, sets the sampling frequency for the mcmc in the MrBayes commands block. Default is set to 1000. |
Individual NEXUS files for each subset of characters annotated with ontology anatomy terms. The files will be organized in individual subfolders named according to each profile inside the folder NEXUS.
## Not run: # HAO example # # Create ID object # ID <- as.data.frame(cbind(paste0("C", 1:40), c(rep("HAO:0000506",5), rep("HAO:0000513",5), rep("HAO:0000453",5), rep("HAO:0000234",5), rep("HAO:0001003",5), rep("HAO:0000874",5), rep("HAO:0000583",5), rep("HAO:0000630",5)), c(rep("mandible",5), rep("maxilla",5), rep("labium",5), rep("cranium",5) , rep("tentorium",5), rep("prothorax",5), rep("mesothorax",5), rep("metathorax",5)))) # List of profiles with terms to query # tags <- list( c("HAO:0000506", "HAO:0000513", "HAO:0000453"), c("HAO:0000234", "HAO:0001003"), c("HAO:0000874", "HAO:0000583", "HAO:0000630")) # Set profile names and terms # names(tags) <- c("mouthparts_profile1", "head_profile2", "mesosoma_profile3") names(tags[[1]]) <- c("mandible", "maxilla", "labium") names(tags[[2]]) <- c("cranium", "tentorium") names(tags[[3]]) <- c("prothorax", "mesothorax", "metathorax") # Create MrBayes files # ontobayes_profiles(tags = tags, ids = ID, manual = T, relations = c("BFO:0000050", "is_a"), ontology = "data/HAO.obo", dataset = "data/matrix1.nex", outgroup = "sp1", rates = "gamma", coding = "variable", gen = 1000000, runs = 2, chains = 4) # UBERON example # # Create ID object # ID <- as.data.frame(cbind(paste0("C", 1:40), c(rep("UBERON_0002244",5), rep("UBERON_0002397",5), rep("UBERON_0004742",5), rep("UBERON_2000658",5), rep("UBERON_2000488",5), rep("UBERON_0000151",5), rep("UBERON_0000152",5), rep("UBERON_0003097",5)), c(rep("premaxilla",5), rep("maxilla",5), rep("dentary",5), rep("epibranchial bone",5) , rep("ceratobranchial bone",5), rep("pectoral fin",5), rep("pelvic fin",5), rep("dorsal fin",5)))) # List of profiles with terms to query # tags <- list( c("UBERON_0002244", "UBERON_0002397", "UBERON_0004742"), c("UBERON_2000658", "UBERON_2000488"), c("UBERON_0000151", "UBERON_0000152", "UBERON_0003097")) # Set profile names and terms # names(tags) <- c("jaw_profile1", "pharynx_profile2", "fins_profile3") names(tags[[1]]) <- c("premaxilla", "maxilla", "dentary") names(tags[[2]]) <- c("epibranchial_bone", "ceratobranchial_bone") names(tags[[3]]) <- c("pectoral_fin", "pelvic_fin", "dorsal_fin") # Create MrBayes files # ontobayes_profiles(tags = tags, ids = ID, manual = T, relations = c("part_of", "is_a"), ontology = "data/UBERON.obo", dataset = "data/matrix2.nex", outgroup = "sp1", rates = "gamma", coding = "variable", gen = 1000000, runs = 2, chains = 4) ## End(Not run)
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