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To run SNP calling pipeline, we need to prepare index file corresponding to the BAM files with sample IDs
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  % cat ${GC}/examples/index/chr7.CFTR.low_coverage.index
 
  % cat ${GC}/examples/index/chr7.CFTR.low_coverage.index
 
  NA06984 EUR bams/NA06984.mapped.ILLUMINA.bwa.CEU.low_coverage.20120522.CFTR.bam
 
  NA06984 EUR bams/NA06984.mapped.ILLUMINA.bwa.CEU.low_coverage.20120522.CFTR.bam
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Also, we need a configuration file.
    
  % cat ${GC}/examples/index/chr7.CFTR.low_coverage.conf
 
  % cat ${GC}/examples/index/chr7.CFTR.low_coverage.conf
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  HM3_VCF =  $(REF_ROOT)/hapmap_3.3.b37.sites.chr7.CFTR.vcf.gz
 
  HM3_VCF =  $(REF_ROOT)/hapmap_3.3.b37.sites.chr7.CFTR.vcf.gz
 
  OMNI_VCF = $(REF_ROOT)/1000G_omni2.5.b37.sites.PASS.chr7.CFTR.vcf.gz
 
  OMNI_VCF = $(REF_ROOT)/1000G_omni2.5.b37.sites.PASS.chr7.CFTR.vcf.gz
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Then we're ready to run SNP calling pipeline
    
  % ${GC}/gotcloud/gotcloud snpcall --conf ${GC}/examples/index/chr7.CFTR.low_coverage.conf --outDir snps --baseprefix ${GC}/examples --region 7:117000000-117500000 --numjobs 2
 
  % ${GC}/gotcloud/gotcloud snpcall --conf ${GC}/examples/index/chr7.CFTR.low_coverage.conf --outDir snps --baseprefix ${GC}/examples --region 7:117000000-117500000 --numjobs 2
   
  CHRS = 7
 
  CHRS = 7
 
  BAM_INDEX = index/chr7.CFTR.low_coverage.index  
 
  BAM_INDEX = index/chr7.CFTR.low_coverage.index  
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   Commands finished in 306 secs with no errors reported
 
   Commands finished in 306 secs with no errors reported
 
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We can summarize the quality of variants.
    
  % cat ${GC}/out/snps/vcfs/chr7/chr7.filtered.sites.vcf.summary
 
  % cat ${GC}/out/snps/vcfs/chr7/chr7.filtered.sites.vcf.summary
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To run LD-refinement you can run beagle only (gotcloud beagle) or beagle+thunder (gotcloud ldrefine) to improve the quality of genotypes.
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% ${GC}/gotcloud/gotcloud beagle --conf ${GC}/examples/index/chr7.CFTR.low_coverage.conf --outDir snps --baseprefix ${GC}/examples --region 7:117000000-117500000 --numjobs 2
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If you're interested in looking at individual reads from the variant, samtools tview provides a good alternative to IGV. In order to see CFTR R75Q variant in one of the variant carriers, you can run
    
  % samtools tview ${GC}/examples/bams/NA12843.mapped.ILLUMINA.bwa.CEU.low_coverage.20130415.CFTR.bam ${GC}/examples/chr7Ref/hs37d5.chr7.fa
 
  % samtools tview ${GC}/examples/bams/NA12843.mapped.ILLUMINA.bwa.CEU.low_coverage.20130415.CFTR.bam ${GC}/examples/chr7Ref/hs37d5.chr7.fa
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And follow the steps
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* Type ‘g’
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* Type 7:117149147
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* Type ‘n’ to color by nucleotide
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* Move with left arrow to see the variant site clearly
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% ${GC}/gotcloud/gotcloud beagle --conf ${GC}/examples/index/chr7.CFTR.low_coverage.conf --outDir snps --baseprefix ${GC}/examples --region 7:117000000-117500000 --numjobs 2
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Key configurations:
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GOTCLOUD_ROOT: /home/presenter02/day2/session1/uwcmg_2013_08/gotcloud
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OUT_DIR:      snps
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BAM_INDEX:    index/chr7.CFTR.low_coverage.index
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REF:          chr7Ref/hs37d5.chr7.fa
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CHRS:          7
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BATCH_TYPE:    local
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BATCH_OPTS:   
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Processing the following steps...
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9: RUN_BEAGLE
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10: RUN_SUBSET
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Call region is 7:117000000-117500000
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Generating commands for chr7...
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--------------------------------------------------------------------
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Finished creating makefile /home/presenter02/test/snps/umake.Makefile
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Running /home/presenter02/test/snps/umake.Makefile
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  Commands finished in 74 secs with no errors reported
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--------------------------------------------------------------------
    
== STEP 4 : EPACTS association analysis  ==  
 
== STEP 4 : EPACTS association analysis  ==  

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