View source: R/runLayerBinding.BSgenome.R
runLayerBinding.BSgenome | R Documentation |
Simulate layer binding by the binding factor on the layerList
runLayerBinding.BSgenome(
layerList,
factorSet,
iterations = 1,
bf.abundances = rep(10000, length(factorSet)),
watch.function = function(x) {
},
collect.stats = FALSE,
keep.stats = TRUE,
target.layer = 2,
cache.layers = "LAYER.0",
verbose = FALSE,
...
)
layerList |
a |
factorSet |
a |
iterations |
deprecated - do not use |
bf.abundances |
10000 the quantities of each |
watch.function |
have this function execute during each iteration e.g. print something |
collect.stats |
FALSE collect a table of stats each iteration |
keep.stats |
TRUE whether to retain data contained in $history. |
target.layer |
NOT IMPLEMENTED |
cache.layers |
store hits for these layers if they are immutable (e.g. LAYER.0 sequence) default= "LAYER.0". Set to NULL to prevent caching |
verbose |
give more output |
"LayerList"
runLayerBinding
matchBindingFactor.BSgenome
modifyLayerByBindingFactor.BSgenome
generateHitsCache
createLayerSet.BSgenome
createBindingFactor.DNA_motif
# test to show whole genome layer binding
# three factors are created, the third can only hit after the first has modified.
require(Biostrings)
require(BSgenome.Scerevisiae.UCSC.sacCer3)
genome <- BSgenome.Scerevisiae.UCSC.sacCer3 # for convenience
scLayerSet <- createLayerSet.BSgenome(genome=genome, n.layers = 5, verbose=TRUE)
testFactor2 <- createBindingFactor.DNA_consensus("test", patternString="ACTGGGCTA")
testFactor3 <- createBindingFactor.DNA_consensus("test", patternString="ACTGGGCTA", profile.layers = c("LAYER.1", "LAYER.3"), profile.marks = c(0,0),
mod.layers = c("LAYER.2", "LAYER.4"), mod.marks=c(0,1))
# check that a profile looking for 1 will not find any. N.B this WILL bind AFTER testFactor2
testFactor4 <- createBindingFactor.DNA_consensus("test", patternString="ACTGGGCTA", profile.layers = c("LAYER.3", "LAYER.4"), profile.marks = c(0,1),
mod.layers = c("LAYER.1", "LAYER.2"), mod.marks=c(0,1))
# now can match things genome wide. Need to run layerBinding and modification.
# need to have a factorSet, a list of bindingFactors
testFS <- list(testFactor2=testFactor2, testFactor3=testFactor3, testFactor4=testFactor4)
# with the above configuration, there are 41 possible sites across the genome, setting bf.abundances=30, restricts the number that are marked, so the number of potential sites reduces.
modTest <- runLayerBinding.BSgenome(layerList=scLayerSet, factorSet=testFS, verbose=TRUE, bf.abundances=30)
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