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It is usually useful to examine the call sets against known data sets for the passed variants.
 
It is usually useful to examine the call sets against known data sets for the passed variants.
   −
   vt profile_indels -g /net/fantasia/home/atks/ref/vt/grch37/indel.reference.txt  -r /net/fantasia/home/atks/ref/vt/grch37/hs37d5.fa run/final/all.genotypes.bcf -i 22:36000000-37000000 -f "PASS"
+
   vt profile_indels -g indel.reference.txt  -r hs37d5.fa all.genotypes.bcf -i 22:36000000-37000000 -f "PASS"
    
   data set
 
   data set
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We perform the same analysis for the failed variants again, the relatively low overlap with known data sets imply a reasonable tradeoff in sensitivity and specificity.
 
We perform the same analysis for the failed variants again, the relatively low overlap with known data sets imply a reasonable tradeoff in sensitivity and specificity.
   −
   vt profile_indels -g /net/fantasia/home/atks/ref/vt/grch37/indel.reference.txt  -r /net/fantasia/home/atks/ref/vt/grch37/hs37d5.fa run/final/all.genotypes.bcf -i 22:36000000-37000000 -f "~PASS"
+
   vt profile_indels -g indel.reference.txt  -r hs37d5.fa all.genotypes.bcf -i 22:36000000-37000000 -f "~PASS"
    
   data set
 
   data set
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To normalize and remove duplicate variants:
 
To normalize and remove duplicate variants:
   −
   vt normalize  mills.genotypes.bcf -r ~/ref/vt/grch37/hs37d5.fa  | vt mergedups - -o mills.normalized.genotypes.bcf  
+
   vt normalize  mills.genotypes.bcf -r hs37d5.fa  | vt mergedups - -o mills.normalized.genotypes.bcf  
    
and you will observe that 3994 variants had to be left aligned and 1092 variants were removed.
 
and you will observe that 3994 variants had to be left aligned and 1092 variants were removed.
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