Next-Generation Analysis of Deep Sequencing Data: Bringing Light into the Black Box of SELEX Experiments
Next-Generation Analysis of Deep Sequencing Data: Bringing Light into the Black Box of SELEX Experiments
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DOI：
10.1007/978-1-4939-3197-2_7
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发表时间：
2016-01-01
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影响因子：
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通讯作者：
Blank, Michael
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作者：
Blank, Michael
来自体外选择实验的下一代测序数据（NGS;也称为深度测序）的计算机模拟分析使得能够以前所未有的深度分析SELEX程序（通过指数富集的配体系统进化）并改进适体的鉴定。除了起始文库的质量控制和优化之外，用于困难靶标的高级筛选策略或在体外选择实验中丢失的稀有但高质量适体的早期鉴定成为可能。此外，从选择实验获得的序列数据的高信息含量对于随后的先导物优化是有用的。
In silico analysis of next-generation sequencing data (NGS; also termed deep sequencing) derived from in vitro selection experiments enables the analysis of the SELEX procedure (Systematic Evolution of Ligands by EXponential enrichment) in an unprecedented depth and improves the identification of aptamers. Besides quality control and optimization of starting libraries, advanced screening strategies for difficult targets or early identification of rare but high quality aptamers which are otherwise lost in the in vitro selection experiments become possible. The high information content of sequence data obtained from selection experiments is furthermore useful for subsequent lead optimization.