基因组DNA序列剪接结供体识别算法

Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174) Pub Date : 1998-03-21 DOI:10.1109/IJSIS.1998.685439

M. Yin, J.T.L. Wang

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引用次数: 10

摘要

基因组DNA剪接节点上的一致序列是前mrna断裂和重新连接所必需的，必须精确地进行。目前可用于鉴定或预测基因组DNA内转录序列的程序远远不够强大，无法完全阐明基因组结构。在本文中，我们开发了用于5'剪接位点(供体位点)识别的模式匹配算法。利用我们开发的Motif模型，我们可以从一致拼接连接序列中提取退化模式信息。实验结果表明，我们的算法可以正确识别测试DNA组中93%的正确位置的供体位点。此外，我们的算法正确预测了超过91%的供体位点。这些准确率高于现有最好的供体分类算法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Algorithms for splicing junction donor recognition in genomic DNA sequences

The consensus sequences at splicing junctions in genomic DNA are required for pre-mRNA breaking and rejoining which must be carried out precisely. Programs currently available for identification or prediction of transcribed sequences from within genomic DNA are far from being powerful enough to elucidate genomic structure completely. In this paper, we develop pattern matching algorithms for 5' splicing site (donor site) recognition. Using the Motif models we develop, we can extract the degenerate pattern information from the consensus splicing junction sequences. The experimental results show that, our algorithm could correctly recognize 93% of the total donor sites at the right positions in the test DNA group. Furthermore, more than 91% of the donor sites were correctly predicted by our algorithm. These precision rates are higher than the best existing donor classification algorithm.

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Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174)

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