Table 2.
Summary of CNV runs on different callers
| Dataset | XHMM | CoNIFER | CONTRA | EXCAVATOR |
|---|---|---|---|---|
| BI (167) | Oa | O | –b | O |
| WUGSC (116) | O | O | – | O |
| BI GIH (48) | O | O | O | O |
| ClinSeq® (54) | O | O | O | O |
| Sample size analysis (ClinSeq® in triplicates by random sampling) | ||||
| 10 | O | O | – | O |
| 30 | O | O | – | O |
| 75 | O | O | – | O |
| 100 | O | O | – | O |
| 300 | O | O | – | O |
| Capture kit analysis (48 samples from ClinSeq® in triplicates by random sampling) | ||||
| SS HAE | O | O | – | O |
| SS ICGC | O | O | – | O |
| TruSeq v2 | O | O | – | O |
| Mix capturec | O | O | – | O |
BI Broad Institute, WUGSC Washington University Genome Sequencing Center, BI-GIH Broad Institute Gujarati Indians in Houston, Texas
aO denotes that a caller was run on a given dataset
b– denotes that a caller was not run on a given dataset
cIndicates data comprising 48 samples, 16 samples from each of the three capture kit samples