Nothing
## ----eval=TRUE, warning=FALSE, message=FALSE----------------------------------
library(dowser)
# load example AIRR tsv data
data(ExampleAirr)
# Subset data for this example
ExampleAirr = ExampleAirr[ExampleAirr$clone_id %in% c("3170", "3184"),]
ExampleAirr$subject_id = "Subject_1"
# Process example data using default settings
clones = formatClones(ExampleAirr)
print(clones)
# Process example data keeping samples from different times
# distinct, adding duplicate_count among collapsed sequences,
# and show the sample_id within each clone in the tibble.
clones = formatClones(ExampleAirr, traits=c("sample_id","c_call"),
num_fields=c("duplicate_count"), columns=c("subject_id"))
print(clones)
## ----eval=FALSE, warning=FALSE, message=FALSE---------------------------------
#
# clones = getTrees(clones, nproc=1)
#
# print(clones)
# ## A tibble: 2 x 6
# # clone_id data locus seqs subject_id trees
# # <dbl> <list> <chr> <int> <chr> <list>
# #1 3170 <airrClon> N 13 Subject_1 <phylo>
# #2 3184 <airrClon> N 12 Subject_1 <phylo>
## ----eval=FALSE, warning=FALSE, message=FALSE---------------------------------
# # exec here is set to dnapars position in the Docker image.
# clones = getTrees(clones, build="dnapars", exec="/usr/local/bin/dnapars", nproc=1)
#
# clones
# ## A tibble: 2 x 6
# # clone_id data locus seqs subject_id trees
# # <dbl> <list> <chr> <int> <chr> <list>
# #1 3170 <airrClon> N 13 Subject_1 <phylo>
# #2 3184 <airrClon> N 12 Subject_1 <phylo>
## ----eval=FALSE, warning=FALSE, message=FALSE---------------------------------
#
# clones = getTrees(clones, build="pml")
#
# print(clones)
# ## A tibble: 2 x 6
# # clone_id data locus seqs subject_id trees
# # <dbl> <list> <chr> <int> <chr> <list>
# #1 3170 <airrClon> N 13 Subject_1 <phylo>
# #2 3184 <airrClon> N 12 Subject_1 <phylo>
## ----eval=FALSE, warning=FALSE, message=FALSE---------------------------------
#
# # exec here is set to dnaml position in the Docker image.
# clones = getTrees(clones, build="dnaml", exec="/usr/local/bin/dnaml")
#
# clones
# # A tibble: 2 x 6
# # clone_id data locus seqs subject_id trees
# # <dbl> <list> <chr> <int> <chr> <list>
# #1 3170 <airrClon> N 13 Subject_1 <phylo>
# #2 3184 <airrClon> N 12 Subject_1 <phylo>
## ----eval=FALSE, warning=FALSE, message=FALSE---------------------------------
#
# # exec here is set to raxml position in the Docker image.
# clones = getTrees(clones, build="raxml", exec="/usr/local/bin/raxml-ng")
#
# clones
# # A tibble: 2 x 6
# # clone_id data locus seqs subject_id trees
# # <dbl> <list> <chr> <int> <chr> <list>
# #1 3170 <airrClon> N 13 Subject_1 <phylo>
# #2 3184 <airrClon> N 12 Subject_1 <phylo>
## ----eval=FALSE, warning=FALSE, message=FALSE---------------------------------
#
# # exec here is set to IgPhyML position in the Docker image.
# clones = getTrees(clones, build="igphyml",
# exec="/usr/local/share/igphyml/src/igphyml", nproc=1)
#
# print(clones)
# ## A tibble: 2 x 7
# # clone_id data locus seqs subject_id trees parameters
# # <dbl> <list> <chr> <int> <chr> <named list> <named list>
# #1 3170 <airrClon> N 13 Subject_1 <phylo> <named list [13]>
# #2 3184 <airrClon> N 12 Subject_1 <phylo> <named list [13]>
#
#
# clones$parameters[[1]]$omega_mle
# #[1] 0.5286
## ----eval=FALSE, warning=FALSE, message=FALSE---------------------------------
#
# # exec here is set to IgPhyML position in the Docker image.
# # Only the newest version of IgPhyML (v2.0.0) supports multi-partition trees
# clones = getTrees(clones, build="igphyml",
# exec="/usr/local/share/igphyml/src/igphyml", nproc=1, partition="cf")
#
# print(clones)
# ## A tibble: 2 x 7
# # clone_id data locus seqs subject_id trees parameters
# # <dbl> <list> <chr> <int> <chr> <named list> <named list>
# #1 3170 <airrClon> N 13 Subject_1 <phylo> <named list [13]>
# #2 3184 <airrClon> N 12 Subject_1 <phylo> <named list [13]>
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