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. 2010 Jun 1;26(12):i350–i357. doi: 10.1093/bioinformatics/btq216

Table 1.

Summary of mobile element insertion prediction results in the Venter genome

Chromosome Validated Predicted Found Recall (%) Precision (%)
Chromosome 1 41 Alu 42 Alu 40 88 95
4 NCAI
Chromosome 2 59 Alu 57 Alu 56 91 98
2 NCAI
Chromosome 3 42 Alu 40 Alu 40 90 100
1 NCAI
1 SVA
Chromosome 4 43 Alu 41 Alu 40 87 97
4 NCAI 1 NCAI 1
Chromosome 5 39 Alu 44 Alu 35 90 80
1 SVA 1 SVA 1
Chromosome 6 59 Alu 55 Alu 53 88 96
1 NCAI
1 SVA 1 SVA 1
Chromosome 7 24 Alu 22 Alu 20 83 91
Chromosome 8 34 Alu 33 Alu 33 92 100
2 NCAI
Chromosome 9 23 Alu 23 Alu 21 88 92
1 NCAI 1 NCAI 1
1 SVA
Chromosome 10 33 Alu 32 Alu 32 94 100
2 NCAI 1 NCAI 1
Chromosome 11 35 Alu 32 Alu 32 85 100
3 NCAI 1 NCAI 1
2 SVA 1 SVA 1
Chromosome 12 33 Alu 34 Alu 31 84 91
4 NCAI
Chromosome 13 34 Alu 34 Alu 34 90 100
3 NCAI
2 SVA 1 SVA 1
Chromosome 14 19 Alu 20 Alu 19 95 95
1 NCAI
2 SVA 2 SVA 2
Chromosome 15 24 Alu 21 Alu 20 83 95
Chromosome 16 12 Alu 12 Alu 12 80 100
3 NCAI 1 NCAI 1
Chromosome 17 9 Alu 9 Alu 9 77 100
2 NCAI
2 SVA 1 SVA 1
Chromosome 18 22 Alu 21 Alu 20 91 95
Chromosome 19 11 Alu 11 Alu 11 80 100
3 NCAI 1 NCAI 1
1 SVA
Chromosome 20 11 Alu 13 Alu 9 77 71
2 NCAI 1 NCAI 1
Chromosome 21 7 Alu 7 Alu 7 100 100
Chromosome 22 7 Alu 5 Alu 5 71 100

We show the precision and recall rates of our mobile element (Alu, NCAI and SVA) insertion discovery. We compare our mobile element insertion predictions with both (Xing et al., 2009) and the HuRef genome assembly (Levy et al., 2007). The results demonstrate that our algorithm has a high recall and precision rate.