R/nblast_fafb.R
nblast_fafb.Rd
NBLAST EM tracing against FlyCircuit (or other databases of) neurons
nblast_fafb( skids, db = NULL, conn = NULL, mirror = TRUE, normalised = TRUE, reverse = FALSE, reference = nat.flybrains::FCWB, prune_twigs = 2, .parallel = TRUE, ... )
skids | catmaid skeleton ids (see |
---|---|
db | A neuronlist object containing neurons to search. Defaults to the
value of |
conn | a |
mirror | whether to mirror the neuron (default |
normalised | Whether to return normalised NBLAST scores |
reverse | Treat the FAFB skeleton as NBLAST target rather than query
(sensible if |
reference | The reference brain to which the neurons will be
transformed, either a |
prune_twigs | Twigs smaller than this value will be removed before
creating the |
.parallel | Whether to parallelise the NBLAST search (see details and
also |
... | Additional parameters passed to |
an object of class nblastfafb for which plot3d
, summary
and hist
methods exist.
Still depends on having a neuronlist
containing
registered neurons (usually from flycircuit.tw
). The example code
downloads a set of projection neurons. The full data must be requested from
Greg Jefferis.
When .parallel=TRUE
, nblast_fafb
will parallelise the search
across multiple cores if possible. You can set an option specifying a
default number of cores elmr.nblast.cores
. See
elmr-package
. Otherwise the default will either be roughly
half the number of cores as determined by
registerDoParallel
. If your machine does not have
multiple cores (or you do not want to use them), the search will be a bit
more efficient if you set the option elmr.nblast.cores=1
or the
argument .parallel=TRUE
.
nblast
,
registerDoParallel
for setting spreading load
across cores.
if (FALSE) { # first load neuronlist object containing registered neurons (see details) allpndps=flycircuit::load_si_data('allpndps.rds') # ... and set that as the default for queries and plotting options(nat.default.neuronlist='allpndps') # then make sure you are loged in to CATMAID server # catmaid::catmaid_login(<your connection args>) # NBLAST neuron 27884 PN27884f=nblast_fafb(27884, mirror = FALSE, .parallel=FALSE) # set up parallel backend (will be used by default) doMC::registerDoMC() PN27884f=nblast_fafb(27884, mirror = FALSE) # summary table of results summary(PN27884f) # plot results, just top hit plot3d(PN27884f, hits=1) # aggressive pruning of twigs nblast_fafb(27884, mirror = FALSE, prune_twigs=5) # no pruning of twigs nblast_fafb(27884, mirror = FALSE, prune_twigs=NA) # alternatively, you can supply an existing neuronlist dc_nl = nblast_fafb(dense_core_neurons, mirror=TRUE) summary(dc_nl) }