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首页> 外文期刊>Proteomics >Automated reporting from gel-based proteomics experiments using the open source Proteios database application.
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Automated reporting from gel-based proteomics experiments using the open source Proteios database application.

机译：使用开源Proteios数据库应用程序从基于凝胶的蛋白质组学实验中自动生成报告。

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摘要

The assembly of data from different parts of proteomics workflow is often a major bottleneck in proteomics. Furthermore, there is an increasing demand for the publication of details about protein identifications due to the problems with false-positive and false-negative identifications. In this report, we describe how the open-source Proteios software has been expanded to automate the assembly of the different parts of a gel-based proteomics workflow. In Proteios it is possible to generate protein identification reports that contain all the information currently required by proteomics journals. It is also possible for the user to specify maximum allowed false positive ratios, and reports are automatically generated with the corresponding score cut-offs calculated. When protein identification is conducted using multiple search engines, the score thresholds that correlate to the predetermined error rate are also explicitly calculated for proteins that appear on the result lists of more than one search engine.
机译：来自蛋白质组学工作流不同部分的数据组装通常是蛋白质组学的主要瓶颈。此外，由于假阳性和假阴性鉴定的问题，对公开有关蛋白质鉴定的细节的需求增加。在这份报告中，我们描述了如何扩展开源Proteios软件以自动组装基于凝胶的蛋白质组学工作流的不同部分。在Proteios中，可以生成蛋白质鉴定报告，其中包含蛋白质组学期刊当前所需的所有信息。用户也可以指定允许的最大误报率，并自动生成报告，并计算出相应的分数截止值。当使用多个搜索引擎进行蛋白质识别时，还会针对出现在多个搜索引擎的结果列表中的蛋白质显式计算与预定错误率相关的得分阈值。

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