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Enrich: software for analysis of protein function by enrichment and depletion of variants

机译:Enrich:通过变体的富集和耗竭来分析蛋白质功能的软件

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摘要

Summary: Measuring the consequences of mutation in proteins is critical to understanding their function. These measurements are essential in such applications as protein engineering, drug development, protein design and genome sequence analysis. Recently, high-throughput sequencing has been coupled to assays of protein activity, enabling the analysis of large numbers of mutations in parallel. We present Enrich, a tool for analyzing such deep mutational scanning data. Enrich identifies all unique variants (mutants) of a protein in high-throughput sequencing datasets and can correct for sequencing errors using overlapping paired-end reads. Enrich uses the frequency of each variant before and after selection to calculate an enrichment ratio, which is used to estimate fitness. Enrich provides an interactive interface to guide users. It generates user-accessible output for downstream analyses as well as several visualizations of the effects of mutation on function, thereby allowing the user to rapidly quantify and comprehend sequence–function relationships.
机译:摘要:测量蛋白质突变的后果对于了解其功能至关重要。这些测量在诸如蛋白质工程,药物开发,蛋白质设计和基因组序列分析等应用中至关重要。最近,高通量测序已与蛋白质活性测定法结合使用,从而能够并行分析大量突变。我们介绍了Enrich,一种用于分析此类深层突变扫描数据的工具。 Enrich可以识别高通量测序数据集中蛋白质的所有独特变体(突变体),并可以使用重叠的配对末端读数来纠正测序错误。 Enrich使用选择之前和之后每个变体的频率来计算富集率,该富集率用于估计适合度。 Enrich提供了一个交互式界面来指导用户。它为下游分析以及突变对功能影响的多种可视化生成用户可访问的输出,从而使用户可以快速量化和理解序列与功能的关系。

著录项

  • 来源
    《Bioinformatics》 |2011年第24期|p.3430-3431|共2页
  • 作者

    Stanley Fields;

  • 作者单位
  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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