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Table 1 Effect of the chain-net approach on the translated BLAT alignments

From: eHive: An Artificial Intelligence workflow system for genomic analysis

Alignment

Chain&Net

Alignments

Genomic Coverage

Coding Exon Coverage

Human-Chicken

NO

894342

39885438

1.09%

20286249

49.55%

Human-Chicken

YES

337551

39928606

1.09%

20024694

48.91%

Human-C.savignyi

NO

142111

6039918

0.16%

4227643

10.33%

Human-C.savignyi

YES

54447

5720330

0.16%

4052706

9.90%

Mouse-Tetraodon

NO

509589

20480760

0.75%

14931981

42.29%

Mouse-Tetraodon

YES

177447

19615452

0.72%

14450833

40.93%

Mouse-Xenopus

NO

2061217

29538379

1.09%

18769694

53.16%

Mouse-Xenopus

YES

239083

27926452

1.03%

18113364

51.30%

  1. This table compares the result of the translated BLAT alignmnts before and after using the chain-net approach. While the total number of alignments is reduced to less than 40%, the coverage is only slightly reduced.