Abstract
A comparison and visualisation of epialleleR output values for various input files
The best possible explanation on VEF and lMHL values is given in help files for generateCytosineReport
and generateMhlReport
methods, respectively. Here we try to show some simplified and real situations, i.e., different methylation patterns that may exist, and provide a visual summary of epialleleR
output.
The readers are welcome to try their own real and simulated data. If it might be of interest to others, please create an issue and these examples might get included in this vignette.
NB: the plotMetrics
function used below is a piece of spaghetti code, hence hidden. If you still want to use it or see what it does - browse a source code of this vignette online.
out.bam <- tempfile(pattern="simulated", fileext=".bam")
set.seed(1)
# no epimutations
simulateBam(
output.bam.file=out.bam,
XM=c(
sapply(
lapply(1:1000, function (x) sample(c("Z",rep("z", 9)), 10)),
paste, collapse=""
)
),
XG="CT"
)
#> Writing sample BAM [0.125s]
#> [1] 1000
plotMetrics(out.bam, as("chrS:1-10", "GRanges"), 0, title="no epimutations")
# one complete epimutation
simulateBam(
output.bam.file=out.bam,
XM=c(
paste(rep("Z", 10), collapse=""),
sapply(
lapply(1:999, function (x) sample(c("Z",rep("z", 9)), 10)),
paste, collapse=""
)
),
XG="CT"
)
#> Writing sample BAM [0.124s]
#> [1] 1000
plotMetrics(out.bam, as("chrS:1-10", "GRanges"), title="one complete epimutation")
# one partial epimutation
simulateBam(
output.bam.file=out.bam,
XM=c(
paste(c(rep("Z", 4), "z", "z", rep("Z", 4)), collapse=""),
sapply(
lapply(1:999, function (x) sample(c("Z",rep("z", 9)), 10)),
paste, collapse=""
)
),
XG="CT"
)
#> Writing sample BAM [0.124s]
#> [1] 1000
plotMetrics(out.bam, as("chrS:1-10", "GRanges"), title="one partial epimutation")
# another partial epimutation
simulateBam(
output.bam.file=out.bam,
XM=c(
"zZZZZZZZzz",
sapply(
lapply(1:999, function (x) sample(c("Z",rep("z", 9)), 10)),
paste, collapse=""
)
),
XG="CT"
)
#> Writing sample BAM [0.127s]
#> [1] 1000
plotMetrics(out.bam, as("chrS:1-10", "GRanges"), title="another partial epimutation")
# several partial epimutations
simulateBam(
output.bam.file=out.bam,
XM=c(
sapply(
lapply(1:10, function (x) c(rep("Z", 6), rep("z", 4))),
paste, collapse=""
),
sapply(
lapply(1:999, function (x) sample(c("Z",rep("z", 9)), 10)),
paste, collapse=""
)
),
XG="CT"
)
#> Writing sample BAM [0.119s]
#> [1] 1009
plotMetrics(out.bam, as("chrS:1-10", "GRanges"), title="several partial epimutations")
# several short partial epimutations
simulateBam(
output.bam.file=out.bam,
XM=c(
sapply(
lapply(1:10, function (x) c(rep("Z", 4), rep("z", 6))),
paste, collapse=""
),
sapply(
lapply(1:999, function (x) sample(c("Z",rep("z", 9)), 10)),
paste, collapse=""
)
),
XG="CT"
)
#> Writing sample BAM [0.120s]
#> [1] 1009
plotMetrics(out.bam, as("chrS:1-10", "GRanges"), title="several short partial epimutations")
# several overlapping partial epimutations
simulateBam(
output.bam.file=out.bam,
pos=1:10,
XM=c(
"ZZZZZZZZZZ", "ZZZZZZZZZz", "ZZZZZZZZzz", "ZZZZZZZzzz", "ZZZZZZzzzz",
sapply(
lapply(1:15, function (x) sample(c("Z",rep("z", 9)), 10)),
paste, collapse=""
)
),
XG="CT"
)
#> Writing sample BAM [0.005s]
#> [1] 20
plotMetrics(out.bam, as("chrS:1-20", "GRanges"), title="several overlapping partial epimutations")
# amplicon 0%
plotMetrics(
system.file("extdata", "amplicon000meth.bam", package="epialleleR"),
as("chr17:43124861-43126026", "GRanges"), title="amplicon, 0%"
)