Suppr超能文献

用于亚基因组富集和下一代测序的简化表征方法。

Reduced representation methods for subgenomic enrichment and next-generation sequencing.

作者信息

Good Jeffrey M

机构信息

Division of Biological Sciences, University of Montana, Missoula, MT, USA.

出版信息

Methods Mol Biol. 2011;772:85-103. doi: 10.1007/978-1-61779-228-1_5.

Abstract

Several methods have been developed to enrich DNA for subsets of the genome prior to next-generation sequencing. These front-end enrichment strategies provide powerful and cost-effective tools for researchers interested in collecting large-scale genomic sequence data. In this review, I provide an overview of both general and targeted reduced representation enrichment strategies that are commonly used in tandem with next-generation sequencing. I focus on several key issues that are likely to be important when deciding which enrichment strategy is most appropriate for a given experiment. Overall, these techniques can enable the collection of large-scale genomic data in diverse species, providing a powerful tool for the study of evolutionary biology.

摘要

在进行下一代测序之前,已经开发了几种方法来富集基因组亚群的DNA。这些前端富集策略为有兴趣收集大规模基因组序列数据的研究人员提供了强大且经济高效的工具。在这篇综述中,我概述了与下一代测序联合使用的一般和靶向性降低代表性富集策略。我关注在决定哪种富集策略最适合给定实验时可能很重要的几个关键问题。总体而言,这些技术能够在不同物种中收集大规模基因组数据,为进化生物学研究提供了强大的工具。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验