A wrapper around Rsubread::featureCounts to quantify reads in the SAF segments
generated by cacti_s_create_segments.
Arguments
- file_bams
Character vector of BAM file paths.
- file_saf
Path to the SAF annotation file (from
cacti_s_create_segments).- file_counts_out
Output path for the counts matrix.
- threads
Number of threads for featureCounts.
- isPairedEnd
Logical. If
TRUE, fragments are counted instead of reads. Default isFALSE.- ...
Additional arguments passed to
Rsubread::featureCounts.
Details
By default, this runs with settings optimized for CACTI-S:
-F SAF: Uses the SAF format provided.--read2pos 5: Reduces reads to their 5' end.--primary: Counts only primary alignments.--ignoreDup: Ignores duplicate reads.
Examples
if (FALSE) { # \dontrun{
# Locate test data bundled in the package
file_saf <- system.file("extdata/test_results", "test_segments.saf", package = "cacti")
file_bam1 <- system.file("extdata", "Sample1.bam", package = "cacti")
file_bam2 <- system.file("extdata", "Sample2.bam", package = "cacti")
file_bam3 <- system.file("extdata", "Sample3.bam", package = "cacti")
file_bam4 <- system.file("extdata", "Sample4.bam", package = "cacti")
# Define output file
file_out <- "inst/extdata/test_results/test_raw_counts.txt"
# Run counting
if (file.exists(file_bam1) && file.exists(file_saf)) {
cacti_s_count(
file_bams = c(file_bam1, file_bam2, file_bam3, file_bam4),
file_saf = file_saf,
file_counts_out = file_out
)
# Check result
head(read.table(file_out, header = TRUE))
}
} # }