首页> 美国卫生研究院文献>Journal of Biomolecular Techniques : JBT >P170-M Platform for Proteome Analyses of LC/MS/MS Data by Multiple Search Engine Comparison and Label-Free Relative Quantification
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P170-M Platform for Proteome Analyses of LC/MS/MS Data by Multiple Search Engine Comparison and Label-Free Relative Quantification

机译:P170-M平台用于通过多个搜索引擎比较和无标签相对定量对LC / MS / MS数据进行蛋白质组分析

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摘要

LC-MS/MS and automated protein library searching provide a high-throughput strategy for peptide sequence assignments for identification of qualitative differences in comparative shotgun proteomics. However, the rapid increase in size and depth of analysis requires advancement in the speed, scale and flexibility of tools available for parsimony level data analysis. MassSieve has been developed as a platform for parsimony analysis of large scale MS/MS experiments, both for single and comparative analysis.MassSieve supports reports from multiple search engines with differing probability-based search characteristics which can increase peptide sequence coverage and/ or identify conflicting or ambiguous spectral assignments. Label-free relative quantitative information is also available by spectral hit counts per peptide and per protein. Graphical display of each set of related peptides and proteins as well as user defined treatment of indeterminate peptides provides for visualization of possible isoforms or conflicting database entries.
机译:LC-MS / MS和自动蛋白质库搜索为肽序列分配提供了一种高通量策略,用于鉴定比较comparative弹枪蛋白质组学中的质量差异。然而,分析规模和深度的迅速增加要求用于简约水平数据分析的工具的速度,规模和灵活性得到提高。 MassSieve已开发为可用于大型MS / MS实验的简约分析的平台,可进行单一分析和比较分析.MassSieve支持来自多个搜索引擎的报告,这些报告具有不同的基于概率的搜索特征,可增加肽序列的覆盖率和/或识别冲突或模糊的频谱分配。还可以通过每种肽和每种蛋白质的光谱命中计数获得无标记的相对定量信息。每组相关肽和蛋白质的图形显示以及不确定肽段的用户定义处理方式可直观显示可能的同工型或冲突的数据库条目。

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