MALDIrppa：用于质谱数据分析的质量控制和稳健分析。
MALDIrppa: quality control and robust analysis for mass spectrometry data.
机构信息
Biomathematics and Statistics Scotland, JCMB, The King's Buildings, Peter Guthrie Tait Road, Edinburgh, EH9 3FD, UK.
Proteomics Facility Services, Moredun Research Institute, Pentland Science Park, Bush Loan, Penicuik, Mid Lothian, EH26 0PZ, UK.
出版信息
Bioinformatics. 2018 Feb 1;34(3):522-523. doi: 10.1093/bioinformatics/btx628.
SUMMARY
This R package helps to implement a robust approach to deal with mass spectrometry (MS) data. It is aimed at alleviating reproducibility issues and pernicious effects of deviating signals on both data pre-processing and downstream data analysis. Based on robust statistical methods, it facilitates the identification and filtering of low-quality mass spectra and atypical peak profiles as well as monitoring and data handling through pre-processing, which extends existing computational tools for high-throughput data.
AVAILABILITY AND IMPLEMENTATION
MALDIrppa is implemented as a package for the R environment for data analysis and it is freely available to download from the CRAN repository at https://CRAN.R-project.org/package=MALDIrppa.
CONTACT
摘要
这个 R 包有助于实现一种强大的方法来处理质谱（MS）数据。它旨在减轻重现性问题以及偏离信号对数据预处理和下游数据分析的有害影响。基于稳健的统计方法，它有助于识别和过滤低质量的质谱和非典型的峰形，并通过预处理进行监测和数据处理，从而扩展了用于高通量数据的现有计算工具。
可用性和实现
MALDIrppa 作为 R 环境的一个数据分析包实现，可从 https://CRAN.R-project.org/package=MALDIrppa 上的 CRAN 存储库免费下载。
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