All sequencing experiments and most functional genomics screens rely on the generation of libraries to comprehensively capture pools of targeted sequences. In the past decade especially, driven by the progress in the field of massively parallel sequencing, numerous studies have comprehensively assessed the impact of particular manipulations on library complexity and quality, and characterized the activities and specificities of several key enzymes used in library construction. Fortunately, careful protocol design and reagent choice can substantially mitigate many of these biases, and enable reliable representation of sequences in libraries. This review aims to guide the reader through the vast expanse of literature on the subject to promote informed library generation, independent of the application.

中文翻译：

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捕获“ome”：用于 RNA 和 DNA 文库构建的扩展分子工具箱


所有测序实验和大多数功能基因组学筛选都依赖于文库的生成来全面捕获目标序列库。特别是在过去的十年中，在大规模并行测序领域的进步的推动下，大量研究全面评估了特定操作对文库复杂性和质量的影响，并表征了文库构建中使用的几种关键酶的活性和特异性。幸运的是，仔细的方案设计和试剂选择可以大大减轻许多此类偏差，并实现文库中序列的可靠表示。本综述旨在引导读者浏览有关该主题的大量文献，以促进独立于应用程序的知情图书馆的生成。