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Figure 4 | BMC Bioinformatics

Figure 4

From: State of art fusion-finder algorithms are suitable to detect transcription-induced chimeras in normal tissues?

Figure 4

Venn diagrams of genes detected as part of false chimera in negative datasets. FM) FusionMap shows a direct dependency of false chimeras with respect to the read length and a limited dependency of false chimera detection on the basis of the quality scores associated with the reads. FF) FusionFinder shows an inverse dependency of false chimeras on the basis of the read length and a strong dependency of false chimera detection on the basis of the quality scores associated with the reads. THF) TopHat-Fusion detects the highest number of false chimeras. Its dependency with respect to read length is quite limited. DF) deFuse shows a direct dependency of false chimeras on the basis of the read length. MS) MapSplice shows a significant dependency of false chimera detection on the basis of the quality scores associated with the reads. FusionHunter is not shown, since it is the only tool that does not detect false chimeras in the negative datasets.

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