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SPIRE:系统蛋白质研究环境。

SPIRE: Systematic protein investigative research environment.

机构信息

Bioinformatics & High-throughput Analysis Laboratory, Seattle Children's Research Institute, Seattle, WA, USA.

出版信息

J Proteomics. 2011 Dec 10;75(1):122-6. doi: 10.1016/j.jprot.2011.05.009. Epub 2011 May 13.

Abstract

The SPIRE (Systematic Protein Investigative Research Environment) provides web-based experiment-specific mass spectrometry (MS) proteomics analysis (https://www.proteinspire.org). Its emphasis is on usability and integration of the best analytic tools. SPIRE provides an easy to use web-interface and generates results in both interactive and simple data formats. In contrast to run-based approaches, SPIRE conducts the analysis based on the experimental design. It employs novel methods to generate false discovery rates and local false discovery rates (FDR, LFDR) and integrates the best and complementary open-source search and data analysis methods. The SPIRE approach of integrating X!Tandem, OMSSA and SpectraST can produce an increase in protein IDs (52-88%) over current combinations of scoring and single search engines while also providing accurate multi-faceted error estimation. One of SPIRE's primary assets is combining the results with data on protein function, pathways and protein expression from model organisms. We demonstrate some of SPIRE's capabilities by analyzing mitochondrial proteins from the wild type and 3 mutants of C. elegans. SPIRE also connects results to publically available proteomics data through its Model Organism Protein Expression Database (MOPED). SPIRE can also provide analysis and annotation for user supplied protein ID and expression data.

摘要

SPIRE(系统蛋白质研究环境)提供基于网络的特定实验质谱(MS)蛋白质组学分析(https://www.proteinspire.org)。它强调可用性和最佳分析工具的集成。SPIRE 提供了一个易于使用的网络界面,并以交互式和简单的数据格式生成结果。与基于运行的方法相比,SPIRE 根据实验设计进行分析。它采用新颖的方法来生成错误发现率和局部错误发现率(FDR,LFDR),并集成了最佳和互补的开源搜索和数据分析方法。SPIRE 集成 X!Tandem、OMSSA 和 SpectraST 的方法可以在提高评分和单个搜索引擎组合的蛋白质 ID(52-88%)的同时,提供准确的多方面错误估计。SPIRE 的主要资产之一是将结果与来自模式生物的蛋白质功能、途径和蛋白质表达的数据相结合。我们通过分析秀丽隐杆线虫的野生型和 3 种突变体的线粒体蛋白质来展示 SPIRE 的一些功能。SPIRE 还通过其模型生物蛋白质表达数据库(MOPED)将结果与公开可用的蛋白质组学数据连接起来。SPIRE 还可以为用户提供的蛋白质 ID 和表达数据提供分析和注释。

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