SequencingSummaryT50: calculates the timepoint within a sequencing run where...
In sagrudd/nanopoRe: Accessory Methods for the Analysis of Oxford Nanopore Technologies DNA Sequence Data
Description
Usage
Arguments
Value
Examples
View source: R/SequencingSummary.R
Description
an accessory method for identifying a timepoint where a given amount of data
has been produced
Usage
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SequencingSummaryT50(seqsum=NA,
t = 0.5,
sampleHours = NA,
sampleIntervalMinutes = 60
)
Arguments
seqsum
is the data.frame object as prepared by importSequencingSummary
t
is a fractional point through run against which time will be
calculated
sampleHours
is the number of hours to consider
sampleIntervalMinutes
is the resolution of the plot in minutes
Value
a numeric value expressed in hours
Examples
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init()
seqsumFile <- system.file("extdata",
"sequencing_summary.txt.bz2", package = "nanopoRe")
seqsum <- importSequencingSummary(seqsumFile)
T50 <- SequencingSummaryT50(seqsum)
T50
sagrudd/nanopoRe documentation built on June 7, 2020, 10:20 p.m.
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Description Usage Arguments Value Examples
View source: R/SequencingSummary.R
Description
an accessory method for identifying a timepoint where a given amount of data has been produced
Usage
1 2 3 4 5 | SequencingSummaryT50(seqsum=NA,
t = 0.5,
sampleHours = NA,
sampleIntervalMinutes = 60
)
|
Arguments
seqsum |
is the data.frame object as prepared by importSequencingSummary |
t |
is a fractional point through run against which time will be calculated |
sampleHours |
is the number of hours to consider |
sampleIntervalMinutes |
is the resolution of the plot in minutes |
Value
a numeric value expressed in hours
Examples
1 2 3 4 5 6 | init()
seqsumFile <- system.file("extdata",
"sequencing_summary.txt.bz2", package = "nanopoRe")
seqsum <- importSequencingSummary(seqsumFile)
T50 <- SequencingSummaryT50(seqsum)
T50
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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