Table 1.
Error setting | Score | Score per Matched Chunk | M-score |
---|---|---|---|
Low | 0.982 | 0.997 | 0.995 |
Medium | 0.918 | 0.994 | 0.991 |
High | 0.664 | 0.881 | 0.965 |
The AUC for discriminating true alignments from false alignments using the alignment score, alignment score per matched chunk, and M-score statistics for simulated Rmaps from the human reference under low, medium and high error settings. M-Score is comparable to the other methods under the low and medium error and performs superiorly under high error.