bc_cure_umi | R Documentation |
When the UMI is applied, bc_cure_umi
can filter the UMI-barcode tags
by counts.
bc_cure_umi(barcodeObj, depth = 2, doFish = FALSE, isUniqueUMI = FALSE)
## S4 method for signature 'BarcodeObj'
bc_cure_umi(barcodeObj, depth = 1, doFish = FALSE, isUniqueUMI = FALSE)
barcodeObj |
A BarcodeObj object. |
depth |
A numeric or a vector of numeric, specifying the UMI-barcode tag count threshold. Only the barcodes with UMI-barcode tag count equal to or larger than the threshold are kept. |
doFish |
A logical value, if true, for barcodes with UMI read depth
above the threshold, “fish” for identical barcodes with UMI read depth below
the threshold. The consequence of |
isUniqueUMI |
A logical value. In the case that a UMI relates to several barcodes, if you believe that the UMI is absolutely unique, then only the UMI-barcodes tags with the highest count are kept for each UMI. |
When invoking this function, it processes the data with following steps:
(if isUniqueUMI is TRUE) Find the dominant UMI-barcode tag with the highest reads count in each UMI.
UMI-barcode depth filtering.
(if doFish is TRUE) Fishing the UMI-barcode tags with low reads count.
A BarcodeObj
object with cleanBc
slot updated (or
created).
data(bc_obj)
d1 <- data.frame(
seq = c(
"ACTTCGATCGATCGAAAAGATCGATCGATC",
"AATTCGATCGATCGAAGAGATCGATCGATC",
"CCTTCGATCGATCGAAGAAGATCGATCGATC",
"TTTTCGATCGATCGAAAAGATCGATCGATC",
"AAATCGATCGATCGAAGAGATCGATCGATC",
"CCCTCGATCGATCGAAGAAGATCGATCGATC",
"GGGTCGATCGATCGAAAAGATCGATCGATC",
"GGATCGATCGATCGAAGAGATCGATCGATC",
"ACTTCGATCGATCGAACAAGATCGATCGATC",
"GGTTCGATCGATCGACGAGATCGATCGATC",
"GCGTCCATCGATCGAAGAAGATCGATCGATC"
),
freq = c(
30, 60, 9, 10, 14, 5, 10, 30, 6, 4 , 6
)
)
pattern <- "([ACTG]{3})TCGATCGATCGA([ACTG]+)ATCGATCGATC"
bc_obj <- bc_extract(list(test = d1), pattern, sample_name=c("test"),
pattern_type=c(UMI=1, barcode=2))
# Use UMI information to remove the barcode <= 5 UMI-barcode tags
bc_umi_cured <- bc_cure_umi(bc_obj, depth =0, doFish=TRUE, isUniqueUMI=TRUE)
bc_cure_depth(bc_umi_cured, depth = 5)
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