4.5 Article

SPIRE: Systematic protein investigative research environment

期刊

JOURNAL OF PROTEOMICS
卷 75, 期 1, 页码 122-126

出版社

ELSEVIER
DOI: 10.1016/j.jprot.2011.05.009

关键词

Protein identification; Data integration; False discovery rates; Proteomics pipeline; Data analysis; Protein annotation

资金

  1. NSF [DBI-0969929]
  2. NIH [5R01 GM076680-02]
  3. Direct For Biological Sciences
  4. Div Of Biological Infrastructure [0969929] Funding Source: National Science Foundation

向作者/读者索取更多资源

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 multifaceted 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. (C) 2011 Published by Elsevier B.V.

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