I forgot to say ... it's human.
I've been working on RRBS data these days. Raw data were processed using Trim_galore tool, in order to remove adapter and low-quality reads. The clean data were mapped to the reference genome using the Bismark alignment tool with default parameters(--bowtie2 --directional). Final Alignment report is like this:
Sequence pairs analysed in total: 17109021
Number of paired-end alignments with a unique best hit: 10941462
Mapping efficiency: 64.0%
Sequence pairs with no alignments under any condition: 3219358
Sequence pairs did not map uniquely: 2948201
Sequence pairs which were discarded because genomic sequence could not be extracted: 0
Total number of C's analysed: 539400501
Total methylated C's in CpG context: 28032910
Total methylated C's in CHG context: 2657563
Total methylated C's in CHH context: 5817321
Total methylated C's in Unknown context: 0
Total unmethylated C's in CpG context: 90723174
Total unmethylated C's in CHG context: 147210060
Total unmethylated C's in CHH context: 264959473
Total unmethylated C's in Unknown context: 1
C methylated in CpG context: 23.6%
C methylated in CHG context: 1.8%
C methylated in CHH context: 2.1%
C methylated in unknown context (CN or CHN): 0.0%
Is the resualt ok ? I want to know wether the 64% mapping efficiency is ok for RRBS data and why. And why is it so low compared to other NGS ?
Thank you very much.
1 answer
The methylation percentages seem pretty reasonable (normally you expect CHG and CHH methylation to be 1 or 2 percent). Not knowing what species this is, it's hard to judge if 64% alignment is good or now. For mouse I normally got higher (80-90%), but either way it's not terrible and with RRBS you probably have enough coverage as is.
BTW, RRBS has a lower alignment rate than other things because you only have 3 nucleotides to work with when doing the alignment. Consequently, there are a lot of reads that map to a million places and are consequently just tossed.
That seems a bit of a low alignment rate to me then. What happens if you instead use bwa-meth? Just try that on one sample and see what sort of alignment percentage you get out.
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