I have been using bsseeker2 to analyze my wgbs reads.
My CGmap file (output of bs_seeker2-call_methylation.py) looks like this
NC_006853_1 C 94 CG CG 0.0 3 1279
NC_006853_1 G 95 CG CG 0.01 11 1874
NC_006853_1 C 97 CHH CA 0.01 8 1300
NC_006853_1 G 101 CHH CT 0.01 16 1899
NC_006853_1 G 102 CHH CC 0.01 16 1907
NC_006853_1 C 103 CHH CC 0.01 9 1346
The number on the last column is quite large and this pattern is present in around 7000 positions.
Further down, my file looks something like this
NC_037328_1 G 32024 CHG CA 0.08 1 13
NC_037328_1 G 32030 CHH CA 0.0 0 13
NC_037328_1 G 32035 CHG CA 0.0 0 13
NC_037328_1 G 32043 CHH CA 0.0 0 12
NC_037328_1 G 32047 CHH CA 0.0 0 13
NC_037328_1 G 32051 CG CG 0.92 12 13
NC_037328_1 G 32058 CHG CA 0.0 0 10
NC_037328_1 C 32136 CHG CT 0.0 0 10
NC_037328_1 C 32141 CHH CA 0.0 0 10
NC_037328_1 C 32145 CHG CA 0.0 0 10
These values in the last column look more real. Is this a normal thing? Could the first 7000 positions reflect adaptors which missed trimmed?
I performed trimming by trimgalore and cutadapt; and verified them by FastQC.
I would be grateful if you can provide me some insight on this issue.
Hello Weilong,
I have been using bsseeker2 to analyze my wgbs reads. My CGmap file (output of bs_seeker2-call_methylation.py) looks like this
NC_006853_1 C 94 CG CG 0.0 3 1279 NC_006853_1 G 95 CG CG 0.01 11 1874 NC_006853_1 C 97 CHH CA 0.01 8 1300 NC_006853_1 G 101 CHH CT 0.01 16 1899 NC_006853_1 G 102 CHH CC 0.01 16 1907 NC_006853_1 C 103 CHH CC 0.01 9 1346
The number on the last column is quite large and this pattern is present in around 7000 positions. Further down, my file looks something like this
NC_037328_1 G 32024 CHG CA 0.08 1 13 NC_037328_1 G 32030 CHH CA 0.0 0 13 NC_037328_1 G 32035 CHG CA 0.0 0 13 NC_037328_1 G 32043 CHH CA 0.0 0 12 NC_037328_1 G 32047 CHH CA 0.0 0 13 NC_037328_1 G 32051 CG CG 0.92 12 13 NC_037328_1 G 32058 CHG CA 0.0 0 10 NC_037328_1 C 32136 CHG CT 0.0 0 10 NC_037328_1 C 32141 CHH CA 0.0 0 10 NC_037328_1 C 32145 CHG CA 0.0 0 10
These values in the last column look more real. Is this a normal thing? Could the first 7000 positions reflect adaptors which missed trimmed? I performed trimming by trimgalore and cutadapt; and verified them by FastQC.
I would be grateful if you can provide me some insight on this issue.
Thank you, Suraj