Description Usage Arguments Value Details Examples
This function filters methylRaw
, methylRawDB
,
methylRawList
and methylRawListDB
objects.
You can filter based on lower read cutoff or high read cutoff.
Higher read cutoff is usefull to eliminate PCR effects
Lower read cutoff is usefull for doing better statistical tests.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 | filterByCoverage(
methylObj,
lo.count = NULL,
lo.perc = NULL,
hi.count = NULL,
hi.perc = NULL,
chunk.size = 1e+06,
save.db = FALSE,
...
)
## S4 method for signature 'methylRaw'
filterByCoverage(
methylObj,
lo.count = NULL,
lo.perc = NULL,
hi.count = NULL,
hi.perc = NULL,
chunk.size = 1e+06,
save.db = FALSE,
...
)
## S4 method for signature 'methylRawList'
filterByCoverage(
methylObj,
lo.count = NULL,
lo.perc = NULL,
hi.count = NULL,
hi.perc = NULL,
chunk.size = 1e+06,
save.db = FALSE,
...
)
## S4 method for signature 'methylRawDB'
filterByCoverage(
methylObj,
lo.count = NULL,
lo.perc = NULL,
hi.count = NULL,
hi.perc = NULL,
chunk.size = 1e+06,
save.db = TRUE,
...
)
## S4 method for signature 'methylRawListDB'
filterByCoverage(
methylObj,
lo.count = NULL,
lo.perc = NULL,
hi.count = NULL,
hi.perc = NULL,
chunk.size = 1e+06,
save.db = TRUE,
...
)
|
methylObj |
a |
lo.count |
An integer for read counts.Bases/regions having lower coverage than this count is discarded |
lo.perc |
A double [0-100] for percentile of read counts. Bases/regions having lower coverage than this percentile is discarded |
hi.count |
An integer for read counts. Bases/regions having higher coverage than this is count discarded |
hi.perc |
A double [0-100] for percentile of read counts. Bases/regions having higher coverage than this percentile is discarded |
chunk.size |
Number of rows to be taken as a chunk for processing the
|
save.db |
A Logical to decide whether the resulting object should be saved as flat file database or not, default: explained in Details sections |
... |
optional Arguments used when save.db is TRUE
|
methylRaw
, methylRawDB
, methylRawList
or
methylRawListDB
object depending on input object
The parameter chunk.size
is only used when working with
methylRawDB
or methylRawListDB
objects,
as they are read in chunk by chunk to enable processing large-sized objects
which are stored as flat file database.
Per default the chunk.size is set to 1M rows, which should work for most
systems. If you encounter memory problems or
have a high amount of memory available feel free to adjust the
chunk.size
.
The parameter save.db
is per default TRUE for methylDB objects as
methylRawDB
and methylRawListDB
,
while being per default FALSE for methylRaw
and methylRawList
.
If you wish to save the result of an
in-memory-calculation as flat file database or if the size of the database
allows the calculation in-memory,
then you might change the value of this parameter.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | data(methylKit)
# filter out bases with covereage above 500 reads
filtered1=filterByCoverage(methylRawList.obj,lo.count=NULL,lo.perc=NULL,
hi.count=500,hi.perc=NULL)
# filter out bases with cread coverage above 99.9th percentile of coverage
# distribution
filtered2=filterByCoverage(methylRawList.obj,lo.count=NULL,lo.perc=NULL,
hi.count=NULL,hi.perc=99.9)
# filter out bases with covereage above 500 reads and save to database
# "test1_max500.txt.bgz"
# in directory "methylDB", filtered3 now becomes a \code{methylRawDB} object
filtered3=filterByCoverage(methylRawList.obj[[1]], lo.count=NULL,lo.perc=NULL,
hi.count=500, hi.perc=NULL, save.db=TRUE,
suffix="max500", dbdir="methylDB")
# tidy up
rm(filtered3)
unlink("methylDB",recursive=TRUE)
|
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