SST与EST在基因识别中的比较。

A A Mironov, P A Pevzner
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引用次数: 0

摘要

表达序列标签(EST)数据为鉴定转录DNA序列提供了有力的工具。然而,由于EST相对较短,许多外显子没有被EST覆盖,从而降低了EST数据的效用。近年来,签名序列标签(SST)指纹被提出作为EST指纹的替代方法。给定探针的指纹集,克隆的SST是指纹集中与克隆杂交的探针的子集。我们证明,除了是筛选cDNA文库的强大技术外,SST技术还提供了非常准确的基因预测。即使使用较小的指纹集(600-800个探针),基于sst的基因识别也优于许多传统的和基于est的方法。将指纹集的大小增加到1500个探针,提供了几乎完美的基因识别。更重要的是,基于sst的基因预测遗漏了很少的外显子,因此,在基因寻找项目中,从完成的基因组序列到突变检测的过程中,提供了一个绕过cDNA测序步骤的机会。由于海温数据可以以高度并行和廉价的方式获得,因此海温技术具有补充EST技术进行基因寻找的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SST versus EST in gene recognition.

The expressed sequence tag (EST) data provide a powerful tool for identification of transcribed DNA sequences. However, as EST are relatively short, many exons are poorly covered by EST, thus reducing the utility of EST data. Recently, signature sequence tag (SST) fingerprints were proposed as an alternative to EST fingerprints. Given a fingerprint set of probes, SST of a clone is a subset of probes from the fingerprint set that hybridize with the clone. We demonstrate that besides being a powerful technique for screening cDNA libraries, SST technology provides for very accurate gene predictions. Even with a small fingerprint set (600-800 probes), SST-based gene recognition outperforms many conventional and EST-based methods. The increase in the size of the fingerprint set to 1500 probes provides almost perfect gene recognition. Even more importantly, SST-based gene predictions miss very few exons and, therefore, provide an opportunity to bypass the cDNA sequencing step on the way from finished genomic sequence to mutation detection in gene-hunting projects. Because SST data can be obtained in a highly parallel and inexpensive way, SST technology has a potential of complementing EST technology for gene hunting.

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