QCplots | R Documentation |
Correlation plots default to mRNA covering reads.
Meta plots defaults to leader, cds, trailer.
Output will be stored in same folder as the
libraries in df.
Correlation plots will be fpkm correlation and
log2(fpkm + 1) correlation between samples.
QCplots(
df,
region = "mrna",
stats_folder = QCfolder(df),
plot.ext = ".pdf",
complex.correlation.plots = TRUE,
library.names = bamVarName(df),
force = TRUE,
windowSize = 100,
BPPARAM = bpparam()
)
df |
an ORFik |
region |
a character (default: mrna), make raw count matrices of whole mrnas or one of (leaders, cds, trailers) |
stats_folder |
directory to save, default:
|
plot.ext |
character, default: ".pdf". Alternatives: ".png" or ".jpg". |
complex.correlation.plots |
logical, default TRUE. Add in addition to simple correlation plot two computationally heavy dots + correlation plots. Useful for deeper analysis, but takes longer time to run, especially on low-quality gpu computers. Set to FALSE to skip these. |
library.names |
character vector, names of libraries, default: name_decider(df, naming) |
force |
logical, default TRUE If TRUE, reload library files even if
matching named variables are found in environment used by experiment
(see |
windowSize |
size of binned windows, minimum of 'wanted_window_size' and minimum of ranges given. Will inform you if windowSize is < wanted_window_size. |
BPPARAM |
how many cores/threads to use? default: bpparam() |
Is part of QCreport
invisible(NULL) (objects stored to disc)
Other QC report:
QCreport()
,
QCstats()
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