计算机科学
工作流程
模块化设计
可扩展性
文件格式
操作系统
水准点(测量)
容器(类型理论)
接口(物质)
云计算
数据库
开源
软件
工程类
大地测量学
最大气泡压力法
气泡
机械工程
地理
作者
Niels Hulstaert,Jim Shofstahl,Timo Sachsenberg,Mathias Walzer,Harald Barsnes,Lennart Martens,Yasset Perez‐Riverol
标识
DOI:10.1021/acs.jproteome.9b00328
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.
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