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ThermoRawFileParser: Modular, Scalable, and Cross-Platform RAW File Conversion

机译:ThermorawFileParser:模块化,可扩展和跨平台原始文件转换

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摘要

The field of computational proteomics is approaching the big data age, driven both by a continuous growth in the number of samples analyzed per experiment as well as by the growing amount of data obtained in each analytical run. In order to process these large amounts of data, it is increasingly necessary to use elastic compute resources such as Linux-based cluster environments and cloud infrastructures. Unfortunately, the vast majority of cross-platform proteomics tools are not able to operate directly on the proprietary formats generated by the diverse mass spectrometers. Here, we present ThermoRawFileParser, an open-source, cross-platform tool that converts Thermo RAW files into open file formats such as MGF and the HUPO-PSI standard file format mzML. To ensure the broadest possible availability and to increase integration capabilities with popular workflow systems such as Galaxy or Nextflow, we have also built Conda package and BioContainers container around ThermoRawFileParser. In addition, we implemented a user-friendly interface (ThermoRawFileParserGUI) for those users not familiar with command-line tools. Finally, we performed a benchmark of ThermoRawFileParser and msconvert to verify that the converted mzML files contain reliable quantitative results.
机译:计算蛋白质组学领域正在接近大数据年龄,通过每次实验分析的样本数量的连续生长以及通过在每个分析运行中获得的日益增长的数据量来驱动。为了处理这些大量数据,越来越需要使用基于Linux的群集环境和云基础架构等弹性计算资源。不幸的是,绝大多数跨平台蛋白质组学工具无法直接以各种质量光谱仪产生的专有格式正常运行。在这里,我们呈现ThermoraWIleParsser,一个开源,跨平台工具将Thermo RAW文件转换为打开的文件格式,例如MGF和Hupo-PSI标准文件格式MZML。为确保最广泛的可用性和增加流行的工作流系统(如Galaxy或NextFlow),我们还在ThermoraWFileperser周围建立了Conda包和生物切割器容器。此外,我们为那些不熟悉的命令行工具的用户实施了一个用户友好的界面(ThermorawFileparsergui)。最后,我们执行了ThermoraWFileParser和MSConvert的基准,以验证转换后的MZML文件是否包含可靠的定量结果。

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