You hint that your trimLen is > 50, yet when you show your max.Rmismatch, it's clearly of length 47, composed of rep(1,12) and rep(2,N) with N=trimLen-15. So N=35 and trimLen=50. A max.Rmismatch of length 47 (= 50-3) will be augmented by rep(-1,3) at the bottom, preventing any matches of an adapter prefix of length 3 or less with a read suffix. This is an effect that you want, but to allow more mismatch tolerance for longer adapter prefixes, against read suffixes, your max.Rmismatch vector must be monotone increasing, even if not strictly, rather than decreasing. So your max.Rmismatch is at least reversed. Its max (last value) might also be > 2.
Perhaps like this:

> ceiling(1:47 * 1/12)
[1] 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 4 4
[39] 4 4 4 4 4 4 4 4 4

This will be better than any max.Rmismatch=e, with e in (0,1).

-Harris

On Feb 22, 2011, at 11:10 PM, Kunbin Qu wrote:

Hi,

I have a 50 cycle RNA-seq run, with variable length of adapters in some reads. The length of the adapter is longer than 50 bp, and the portion in each read could be as high as the full length of 50 cycles, as well as zero bp. When I trim the adapter, I do not want over trim, so the max.Rmismatch parameter I used was shorter than (eg, 3 bp shorter) than the full length, also with more mismatch tolerance for longer portion, less mismatch for short segment. So I wrote like the following:

trimLen<-length(adapter)
trimCoords<-trimLRPatterns(Rpattern=adapter, subject=seqs, max.Rmismatch = c(rep(2,trimLen-15), rep(1, 12)), ranges=T, with.Rindels=TRUE)

the value for the max.Rmismatch is basically:
c(rep(2,trimLen-15), rep(1, 12))
[1] 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1
[39] 1 1 1 1 1 1 1 1 1

So I want to leave the last 3 bp alone (to avoid over-trimming by chance), then followed by 12 bp with 1 mismatch, then 35 bp with 2 mismatch. Somehow when I tried this to the read, it does not seem work, the trimmed reads really do not seem what they should be. Anyone can help me on this? Thanks

-Kunbin


sessionInfo()
R version 2.11.0 (2010-04-22)
x86_64-unknown-linux-gnu

locale:
 [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C
 [3] LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8
 [5] LC_MONETARY=C              LC_MESSAGES=en_US.UTF-8
 [7] LC_PAPER=en_US.UTF-8       LC_NAME=C
 [9] LC_ADDRESS=C               LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base

other attached packages:
[1] ShortRead_1.6.2     Rsamtools_1.0.1     lattice_0.19-11
[4] Biostrings_2.16.7   GenomicRanges_1.0.1 IRanges_1.6.8

loaded via a namespace (and not attached):
[1] Biobase_2.8.0 grid_2.11.0   hwriter_1.3   tools_2.11.0


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