Kun:LabNotes/MONOD/2013-11-22: Difference between revisions

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   ./[[Media:extract_UMI_PE.txt|extract_UMI_PE.pl]]
   ./[[Media:extract_UMI_PE.txt|extract_UMI_PE.pl]]
*The reads were then mapped by [[Media:bisReadMapperPE19.txt|bisReadMapperPE19.pl]], and the bam files were used for haplotype analysis. The 400bp probe set had very poor capture, so the following analysis focus on the data generated with the 150bp probe set (GP1_V4).
*The reads were then mapped by [[Media:bisReadMapperPE19.txt|bisReadMapperPE19.pl]], and the bam files were used for haplotype analysis. The 400bp probe set had very poor capture, so the following analysis focus on the data generated with the 150bp probe set (GP1_V4).
{| {{table}}
| align="center" style="background:#f0f0f0;"|'''T98G_V4'''
| align="center" style="background:#f0f0f0;"|'''1,803,550'''
| align="center" style="background:#f0f0f0;"|'''1,129,385'''
| align="center" style="background:#f0f0f0;"|'''62.6%'''
|-
| T98G_V6||3,151,667||489,282||15.5%
|-
| U87MG_V4||1,586,339||1,019,409||64.3%
|-
| U87MG_V6||2,858,619||422,211||14.8%
|-
| UCLA-SZ_B1_V4||1,427,484||768,088||53.8%
|-
| UCLA-SZ_B1_V6||2,174,198||381,183||17.5%
|-
| UCLA-SZ_D1_V4||1,410,018||512,719||36.4%
|-
| UCLA-SZ_D1_V6||1,126,259||143,605||12.8%
|-
| UCLA-SZ_H11_V4||1,575,000||639,234||40.6%
|-
| UCLA-SZ_H11_V6||2,166,372||269,974||12.5%
|-
|
|}
*I wrote the [[Media: bam2hapInfo.txt|bam2hapInfo.pl]] script to extract all haplotypes from a pair of bam files within all targeted regions.
*I wrote the [[Media: bam2hapInfo.txt|bam2hapInfo.pl]] script to extract all haplotypes from a pair of bam files within all targeted regions.
   ../bam2hapInfo.pl /home/kunzhang/CpgMIP/MONOD/[[Media:GBM_PC_CRC_V4_capture_regions_hg19.txt|GBM_PC_CRC_V4_capture_regions_hg19.txt]] BE2C_V4_R1_UMI_001.fastq.sorted.fwd.bam BE2C_V4_R1_UMI_001.fastq.sorted.rev.bam >BE2C_V4_hapInfo.txt
   ../bam2hapInfo.pl /home/kunzhang/CpgMIP/MONOD/[[Media:GBM_PC_CRC_V4_capture_regions_hg19.txt|GBM_PC_CRC_V4_capture_regions_hg19.txt]] BE2C_V4_R1_UMI_001.fastq.sorted.fwd.bam BE2C_V4_R1_UMI_001.fastq.sorted.rev.bam >BE2C_V4_hapInfo.txt

Revision as of 00:42, 20 March 2014

MONOD round 1

Target identification

  • Data used:
    • Cancer data:
      • GBM: U87 (ENCODE RRBS Hudson Alpha; ENCODE 450k)
      • Pancreatic cancer: PANC1 (ENCODE RRBS UW & Hudson Alpha; ENCODE 450k)
    • Whole blood data: GSE30253 RRBS data; GSE31263 WGBS data
  • DMSs and DMS clusters identification:
    • I wrote a simple script that takes the average of all existing data for each CpG site, and reported the sites at which the methylation difference was greater than 0.8 between cancer and whole blood.
  ./find_DMS_MONOD_v1.pl > MONOD_v1_DMS.txt
    • These sites were then grouped into DMS clusters.
  ./extract_clusters.pl MONOD_v1_DMS.txt > MONOD_v1_DMS_clusters.txt

Probe design

BSPP capture

Data analysis

  • All 16 sequencing libraries were sequenced in a PE150bp MiSeq run: /home/kunzhang/seqStore/131227_MiSeq_GP1
  • Pre-processing of sequencing reads: the 6bp UMI in each of the Read 1 is extracted and placed in the read name, then 27bp of the 5'-ends (corresponding to H1&H2) were trimmed off from Read 1 and Read 2.
  ./extract_UMI_PE.pl
  • The reads were then mapped by bisReadMapperPE19.pl, and the bam files were used for haplotype analysis. The 400bp probe set had very poor capture, so the following analysis focus on the data generated with the 150bp probe set (GP1_V4).
T98G_V4 1,803,550 1,129,385 62.6%
T98G_V6 3,151,667 489,282 15.5%
U87MG_V4 1,586,339 1,019,409 64.3%
U87MG_V6 2,858,619 422,211 14.8%
UCLA-SZ_B1_V4 1,427,484 768,088 53.8%
UCLA-SZ_B1_V6 2,174,198 381,183 17.5%
UCLA-SZ_D1_V4 1,410,018 512,719 36.4%
UCLA-SZ_D1_V6 1,126,259 143,605 12.8%
UCLA-SZ_H11_V4 1,575,000 639,234 40.6%
UCLA-SZ_H11_V6 2,166,372 269,974 12.5%
  • I wrote the bam2hapInfo.pl script to extract all haplotypes from a pair of bam files within all targeted regions.
  ../bam2hapInfo.pl /home/kunzhang/CpgMIP/MONOD/GBM_PC_CRC_V4_capture_regions_hg19.txt BE2C_V4_R1_UMI_001.fastq.sorted.fwd.bam BE2C_V4_R1_UMI_001.fastq.sorted.rev.bam >BE2C_V4_hapInfo.txt
  ../bam2hapInfo.pl /home/kunzhang/CpgMIP/MONOD/GBM_PC_CRC_V4_capture_regions_hg19.txt PANC1_V4_R1_UMI_001.fastq.sorted.fwd.bam PANC1_V4_R1_UMI_001.fastq.sorted.rev.bam >PANC1_V4_hapInfo.txt
  ../bam2hapInfo.pl /home/kunzhang/CpgMIP/MONOD/GBM_PC_CRC_V4_capture_regions_hg19.txt T98G_V4_R1_UMI_001.fastq.sorted.fwd.bam T98G_V4_R1_UMI_001.fastq.sorted.rev.bam >T98G_V4_hapInfo.txt
  ../bam2hapInfo.pl /home/kunzhang/CpgMIP/MONOD/GBM_PC_CRC_V4_capture_regions_hg19.txt U87MG_V4_R1_UMI_001.fastq.sorted.fwd.bam U87MG_V4_R1_UMI_001.fastq.sorted.rev.bam >U87MG_V4_hapInfo.txt
  ../bam2hapInfo.pl /home/kunzhang/CpgMIP/MONOD/GBM_PC_CRC_V4_capture_regions_hg19.txt UCLA-SZ_B1_V4_R1_UMI_001.fastq.sorted.fwd.bam UCLA-SZ_B1_V4_R1_UMI_001.fastq.sorted.rev.bam >UCLA-SZ_B1_V4_hapInfo.txt
  ../bam2hapInfo.pl /home/kunzhang/CpgMIP/MONOD/GBM_PC_CRC_V4_capture_regions_hg19.txt UCLA-SZ_D1_V4_R1_UMI_001.fastq.sorted.fwd.bam UCLA-SZ_D1_V4_R1_UMI_001.fastq.sorted.rev.bam >UCLA-SZ_D1_V4_hapInfo.txt
  ../bam2hapInfo.pl /home/kunzhang/CpgMIP/MONOD/GBM_PC_CRC_V4_capture_regions_hg19.txt UCLA-SZ_H11_V4_R1_UMI_001.fastq.sorted.fwd.bam UCLA-SZ_H11_V4_R1_UMI_001.fastq.sorted.rev.bam >UCLA-SZ_H11_V4_hapInfo.txt
  • TO BE CONTINUED.