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Fig. 2 | BMC Medical Genomics

Fig. 2

From: MetaCNV - a consensus approach to infer accurate copy numbers from low coverage data

Fig. 2

Genome segmentation by MetaCNV. a Segmentation of the genome according to the bins and breakpoints from the input callers. b Consensus segment prediction by MetaCNV is marked as a thick line. Bins c is predicted as amplified and bin d as deleted. Here there is no conflict between the input callers, hence the consensus is that c is amplified and d is deleted. Bin f is not predicted by SVDetect, but because ReadDepth predicts it as an amplification, this becomes the consensus. Bins b, e and g have conflicting ReadDepth and SVDetect predictions. CNVnator judges that e and g are amplifications, hence this becomes the consensus. Bin b is set to CN 2 because only ReadDepth predicts it as an amplification and CNVnator makes no prediction (Table S18)

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