Description Usage Arguments Value Author(s) See Also Examples
This function integrates bin and junction usage in a comprehensive report
1 | splicingReport(bdu, jdu, counts)
|
bdu |
An object of class |
jdu |
An object of class |
counts |
An object of class |
An ASpliSplicingReport
object with junction differential usage report. See vignette for more details
Andres Rabinovich, Estefania Mancini, Javier Iserte, Marcelo Yanovsky, Ariel Chernomoretz
Accesors: binbased
,
localebased
,
anchorbased
,
Export: writeSplicingReport
gbDUreport
, jDUreport
, ASpliSplicingReport
, splicingReport
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 | # Create a transcript DB from gff/gtf annotation file.
# Warnings in this examples can be ignored.
library(GenomicFeatures)
genomeTxDb <- makeTxDbFromGFF( system.file('extdata','genes.mini.gtf',
package="ASpli") )
# Create an ASpliFeatures object from TxDb
features <- binGenome( genomeTxDb )
# Define bam files, sample names and experimental factors for targets.
bamFileNames <- c( "A_C_0.bam", "A_C_1.bam", "A_C_2.bam",
"A_D_0.bam", "A_D_1.bam", "A_D_2.bam" )
targets <- data.frame(
row.names = paste0('Sample_',c(1:6)),
bam = system.file( 'extdata', bamFileNames, package="ASpli" ),
factor1 = c( 'C','C','C','D','D','D'),
subject = c(0, 1, 2, 0, 1, 2))
# Read counts from bam files
gbcounts <- gbCounts( features = features,
targets = targets,
minReadLength = 100, maxISize = 50000,
libType="SE",
strandMode=0)
jcounts <- jCounts(counts = gbcounts,
features = features,
minReadLength = 100,
libType="SE",
strandMode=0)
# Test for factor1 controlling for paired subject
gbPaired <- gbDUreport(gbcounts, formula = formula(~subject+factor1))
jPaired <- jDUreport(jcounts, formula = formula(~subject+factor1))
# Generate a splicing report merging bins and junctions DU
sr <- splicingReport(gbPaired, jPaired, gbcounts)
# Access splicing report elements
sr
localebased(sr)
anchorbased(sr)
binbased(sr)
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