Return neurojson body annotations via the Clio interface

Usage

mcns_body_annotations(
  ids = NULL,
  query = NULL,
  json = FALSE,
  config = NULL,
  show.extra = c("none", "user", "time", "all"),
  cache = FALSE,
  test = FALSE,
  ...
)

Arguments

ids: A set of body ids in any form understandable to manc_ids
query: A json query string (see examples or documentation) or an R list with field names as elements.
json: Whether to return unparsed JSON rather than an R list (default FALSE).
config: An optional httr::config (expert use only, must include a bearer token)
show.extra: Extra columns to show with user/timestamp information.
cache: Whether to cache the result of this call for 5 minutes.
test: Whether to unset the clio-store test server (default FALSE)
...: Additional arguments passed to pbapply::pblapply

Value

A data.frame with metadata

Details

In comparison with mcns_dvid_annotations, this allows queries for specific bodies. In comparison with mcns_neuprint_meta, it provides access to up to the second annotations; it is also presently faster than these other two calls. Compared with mcns_neuprint_meta, it does not produce a stable set of columns, only returning those that exist for the given query ids.

Examples

# \donttest{
mcns_body_annotations("AOTU019")
#>   birthtime bodyid celltype_predicted_nt celltype_predicted_nt_confidence
#> 1     early  10070                  gaba                        0.8305694
#> 2     early  10005                  gaba                        0.8305694
#>   celltype_total_nt_predictions consensus_nt flywire_type group hemibrain_type
#> 1                          5673         gaba      AOTU019 10005        AOTU019
#> 2                          5673         gaba      AOTU019 10005        AOTU019
#>    instance        itolee_hl predicted_nt predicted_nt_confidence soma_side
#> 1 AOTU019_L putative_primary         gaba               0.8259949         L
#> 2 AOTU019_R putative_primary         gaba               0.8351424         R
#>           status   superclass total_nt_predictions    type  auto
#> 1 Roughly traced cb_intrinsic                 2836 AOTU019 FALSE
#> 2 Roughly traced cb_intrinsic                 2837 AOTU019 FALSE
# }
if (FALSE) { # \dontrun{
mcns.superclass=mcns_body_annotations(query=list(superclass="exists/1"))
mcns.superclass %>%
  count(superclass)
} # }