Institute for Systems Biology, Seattle, Washington 98109, United States.
J Proteome Res. 2024 Apr 5;23(4):1519-1530. doi: 10.1021/acs.jproteome.3c00882. Epub 2024 Mar 27.
Most tandem mass spectrometry fragmentation spectra have small calibration errors that can lead to suboptimal interpretation and annotation. We developed SpectiCal, a software tool that can read mzML files from data-dependent acquisition proteomics experiments in parallel, compute / calibrations for each file prior to identification analysis based on known low-mass ions, and produce information about frequently observed peaks and their explanations. Using calibration coefficients, the data can be corrected to generate new calibrated mzML files. SpectiCal was tested using five public data sets, creating a table of commonly observed low-mass ions and their identifications. Information about the calibration and individual peaks is written in PDF and TSV files. This includes information for each peak, such as the number of runs in which it appears, the percentage of spectra in which it appears, and a plot of the aggregated region surrounding each peak. SpectiCal can be used to compute MS run calibrations, examine MS runs for artifacts that might hinder downstream analysis, and generate tables of detected low-mass ions for further analysis. SpectiCal is freely available at https://github.com/PlantProteomes/SpectiCal.
大多数串联质谱碎裂谱都存在较小的校准误差,这可能导致解释和注释效果不佳。我们开发了 SpectiCal 软件工具,它可以并行读取数据依赖型采集蛋白质组学实验的 mzML 文件,根据已知的低质量离子在鉴定分析之前为每个文件计算/校准,并生成有关常见峰及其解释的信息。使用校准系数,可以对数据进行校正以生成新的校准 mzML 文件。SpectiCal 使用五个公共数据集进行了测试,生成了常见低质量离子及其鉴定的表格。有关校准和单个峰的信息以 PDF 和 TSV 文件的形式编写。这包括有关每个峰的信息,例如它出现的运行次数、出现的谱图百分比,以及围绕每个峰的聚合区域的图。SpectiCal 可用于计算 MS 运行校准,检查可能阻碍下游分析的 MS 运行中的伪影,并生成检测到的低质量离子表以进行进一步分析。SpectiCal 可在 https://github.com/PlantProteomes/SpectiCal 上免费获得。