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                           //set and the sample are the same in both data sets. (which they usually are not, this is still  
 
                           //set and the sample are the same in both data sets. (which they usually are not, this is still  
 
                           //nonetheless a useful indicator)<br>
 
                           //nonetheless a useful indicator)<br>
   mills
+
    
    A-B      5705 [0.81]
  −
    A&B      3199 [1.18]
  −
    B-A    203819 [0.98]
  −
    Precision    35.9%
  −
    Sensitivity  1.5% <br>
  −
  mills.chip
  −
    A-B          0 [-nan]
  −
    A&B      8904 [0.93]
  −
    B-A          0 [-nan]
  −
    Precision    100.0%
  −
    Sensitivity  100.0% <br>
  −
  affy.exome.chip
  −
    A-B      8821 [0.93]
  −
    A&B        83 [0.69]
  −
    B-A      34011 [0.47]
  −
    Precision    0.9%
  −
    Sensitivity  0.2%
      
Ins/Del ratios:  Reference alignment based methods tend to be biased towards the detection of deletions.  This provides a useful measure for discovery Indel sets to show the varying degree of biasness.  It also appears that as coverage increases, the ins/del ratio tends to 1.
 
Ins/Del ratios:  Reference alignment based methods tend to be biased towards the detection of deletions.  This provides a useful measure for discovery Indel sets to show the varying degree of biasness.  It also appears that as coverage increases, the ins/del ratio tends to 1.
1,102

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