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420 bytes removed
, 18:10, 15 June 2014
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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]
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− | A&B 3199 [1.18]
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− | B-A 203819 [0.98]
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− | Precision 35.9%
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− | Sensitivity 1.5% <br>
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− | mills.chip
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− | A-B 0 [-nan]
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− | A&B 8904 [0.93]
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− | B-A 0 [-nan]
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− | Precision 100.0%
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− | Sensitivity 100.0% <br>
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− | affy.exome.chip
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− | A-B 8821 [0.93]
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− | A&B 83 [0.69]
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− | B-A 34011 [0.47]
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− | Precision 0.9%
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− | 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. |