SequencingSummaryTemporalThroughput: plot a sequence throughput against time for specified...
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
plots a ggplot2 graph of performance against time for run and separates
passed and failed sequence reads
Usage
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SequencingSummaryTemporalThroughput(seqsum,
sampleHours = NA,
sampleIntervalMinutes = 60
)
Arguments
seqsum
is the data.frame object as prepared by importSequencingSummary
sampleHours
is the number of hours to plot data for
sampleIntervalMinutes
is the resolution to plot data at
Value
ggplot2 showing temporal performance
Examples
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5
init()
seqsumFile <- system.file("extdata",
"sequencing_summary.txt.bz2", package = "nanopoRe")
seqsum <- importSequencingSummary(seqsumFile)
plot <- SequencingSummaryTemporalThroughput(seqsum)
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
plots a ggplot2 graph of performance against time for run and separates passed and failed sequence reads
Usage
1 2 3 4 | SequencingSummaryTemporalThroughput(seqsum,
sampleHours = NA,
sampleIntervalMinutes = 60
)
|
Arguments
seqsum |
is the data.frame object as prepared by importSequencingSummary |
sampleHours |
is the number of hours to plot data for |
sampleIntervalMinutes |
is the resolution to plot data at |
Value
ggplot2 showing temporal performance
Examples
1 2 3 4 5 | init()
seqsumFile <- system.file("extdata",
"sequencing_summary.txt.bz2", package = "nanopoRe")
seqsum <- importSequencingSummary(seqsumFile)
plot <- SequencingSummaryTemporalThroughput(seqsum)
|
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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