Hi all,

I need to get the number of CpGs that are methylated or, unmethylated per read of WGBS data. I am trying the calculate PDR values as described [here][1]. So far I made some progress but need some help from you guys.  I can see this methylated or, unmethylated Cs on IGV. But I was wondering how can I get the information per reads. 

    paste <(samtools view file.bam |  awk '{print $3 "\t" $4 "\t" $4+length($10) "\t" $10}') <(bedtools bamtobed -i file.bam | awk '{print $6, $4}') | head -1000 | intersectBed -a CG.bed
    -b stdin -wa -wb | awk '{print $0, length($7), $2-$5,  substr( $7, (($2-$5)), 2)}' | head

**Note** that `CG.bed` is the coordinates for CpGs in human genome.
Last three columns are: read length, CpG location in read and 2 bases from that location. Output is:

    chr1	10468	10470	chr1	10368	10469	CTAACCCTAACCCTAACCCTAACCCCTAACCCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCCCTAACCCCTAACCCTAACCCTAACCC	+ HWI-ST700660:309:C7T40ACXX:6:1202:9409:92454/2 101 100 CC
    chr1	10468	10470	chr1	10368	10469	CTAACCCTAACCCTAACCCTAACCCCTAACCCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCCTCACCCTAACCCTAACCCTAACCCTA	+ HWI-ST700660:309:C7T40ACXX:5:1107:12258:97118/2 101 100 TA
    chr1	10468	10470	chr1	10369	10470	TAACCCTAACCCTAACCCTAACCCCTAACCCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCCTTAACCCTAACCCTAACCCTAACCCTA	- HWI-ST699:265:C7RM3ACXX:6:2308:9444:13430/1 101 99 CT
    chr1	10468	10470	chr1	10369	10470	TAATTTTAATTTTAATTTTAATTTTTAATTTTAATTTTAATTTTAATTTTAATTTTAATTTTAATTTTAATTATTTTAATTTTAATTTTAATTTTNATTTT	- HWI-ST539:254:C7T4WACXX:2:1204:2095:36010/1 101 99 TT
    chr1	10468	10470	chr1	10370	10471	AACCCTAACCCTAACCCTAACCCTAACCCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCCCTAACCCCTAACCCCTAACCCTAACCCTA	- HWI-ST699:265:C7RM3ACXX:7:1307:13501:63031/1 101 98 CC
    chr1	10468	10470	chr1	10370	10471	AACCCTAACCCTAACCCTAACCCCTAACCCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCCTAAC	+ HWI-ST700660:309:C7T40ACXX:6:2306:15611:23135/2 101 98 TA
    chr1	10468	10470	chr1	10370	10471	AACCCTAACCCTAACCCGATCCCCTAACCCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCCCTAACCCTAACCCCTAACCCTAACCCCT	- HWI-ST699:265:C7RM3ACXX:7:2313:19303:78256/1 101 98 CC
    chr1	10468	10470	chr1	10371	10472	ATTTTAATTTTTAATTTTTAATTTTTAATTTTTAATTTTAATTTTAATTTTAATTTTAATTTTAATTTTTAATTCGAATTTTTAATTCGAATTTTATTCGA	- HWI-ST699:265:C7RM3ACXX:6:2101:2576:51036/1 101 97 TT
    chr1	10468	10470	chr1	10371	10472	ACCCTAACCCTAACCCTAACCCCCTAACCCCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCCCCTAGCCCTAACCCTAACCCTAACCCT	- HWI-ST700660:310:C7T58ACXX:4:2115:12614:9155/1 101 97 AC
    chr1	10468	10470	chr1	10371	10472	ACCCTAACCCTAACCCTAACCCCTAACCCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCCCCTAACCCTAACCCTAACCCTAACCCTAA	- HWI-ST539:254:C7T4WACXX:1:2211:11231:19289/1 101 97 CC

Two issues with this code are:

1) it is taking into consideration of soft clipped reads which I want to ignore.
2) indels may shift the position of CpGs in the reads which I am not considering. As a consequence, in the last column I can see the dyads of CC and TT which is not expected (ignoring SNVs right now) at a CpG location.

In summary, I want to get the number of CpGs methylated or, unmethylation per reads. Thanks!

 PDR (Fig C,E) *Landau DA et al, Locally disordered methylation forms the basis of intratumor methylome variation in chronic lymphocytic leukemia. Cancer Cell. 2014 Dec 8;26(6):813-825*:

Fig 1: [PDR (Fig C,E)][2]

Fig2: [IGV screen shot of my data][3]: 


![Fig 1][4]

![Fig 2][5]


  [1]: https://www.sciencedirect.com/science/article/pii/S1535610814004164?via%3Dihub
  [2]: https://ibb.co/NysTHFf
  [3]: https://ibb.co/tDPjHrz
  [4]: https://ibb.co/tDPjHrz
  [5]: https://ibb.co/NysTHFf
Have a look at `MethylDackel perRead`, which will do what you want properly.