Prince John T, Marcotte Edward M
Institute for Cellular and Molecular Biology, University of Texas, Austin, TX 78712, USA.
Bioinformatics. 2008 Dec 1;24(23):2796-7. doi: 10.1093/bioinformatics/btn513. Epub 2008 Oct 16.
Mass spectrometry-based proteomics stands to gain from additional analysis of its data, but its large, complex datasets make demands on speed and memory usage requiring special consideration from scripting languages. The software library 'mspire'-developed in the Ruby programming language-offers quick and memory-efficient readers for standard xml proteomics formats, converters for intermediate file types in typical proteomics spectral-identification work flows (including the Bioworks .srf format), and modules for the calculation of peptide false identification rates.
Freely available at http://mspire.rubyforge.org. Additional data models, usage information, and methods available at http://bioinformatics.icmb.utexas.edu/mspire
基于质谱的蛋白质组学有望通过对其数据进行额外分析而受益，但其庞大、复杂的数据集对速度和内存使用提出了要求，需要脚本语言予以特别考虑。用Ruby编程语言开发的软件库“mspire”提供了用于标准xml蛋白质组学格式的快速且内存高效的读取器、用于典型蛋白质组学光谱鉴定工作流程中中间文件类型的转换器（包括Bioworks.srf格式）以及用于计算肽错误识别率的模块。
可从http://mspire.rubyforge.org免费获取。更多数据模型、使用信息和方法可在http://bioinformatics.icmb.utexas.edu/mspire获取
