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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.