prcfq | R Documentation |
Process fastq file and create a data.frame of quality score
prcfqs(file, n) prcfqlen(file) prcfqbox(file, n, ...) prcfq2box(file1, file2, n, col2, ...) prcfq2den(file1, file2, col2, lab) prcfqlen(file) prcfqbox(file, n, ...) prcfq2box(file1, file2, n, col2, ...) prcfq2den(file1, file2, col2, lab)
file |
<CHAR> input file path |
n |
<INT> Size of sampling [default: 10000] If a negative value is selected, all reads are used. |
... |
additional plot options [required for 'boxplot' ] |
file1, file2 |
<CHAR> input file path |
col2 |
<CHAR>|<NUM> character or numeric (vector), the border color of the boxplot. |
lab |
<CHAR> |
## Not run: # in_f1 <- "test_R1.fq.bz2" in_f2 <- "test_R2.fq.bz2" res <- prcfqs(in_f1) cols <- adjustcolor(c(1,2), 0.5) prcfqbox(file = in_f1, n = 10000) prcfq2box(file1 = in_f1, file2 = in_f2, n = 10000, col2 = cols) prcfq2den(file1 = in_f1, file2 = in_f2, col2 = cols) ## End(Not run)
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