期刊
JOURNAL OF PROTEOME RESEARCH
卷 22, 期 11, 页码 3652-3659出版社
AMER CHEMICAL SOC
DOI: 10.1021/acs.jproteome.3c00486
关键词
proteomics; mass spectrometry; bioinformatics; search engine; open search; peptide identification; peptide quantification
Given the complexity and volume of proteomics data, efficient software tools for peptide identification and quantification are necessary. This work introduces Sage, a high-performance, open-source, and freely available proteomics pipeline, which matches the performance of state-of-the-art software tools while running significantly faster.
The growing complexity and volume of proteomics data necessitate the development of efficient software tools for peptide identification and quantification from mass spectra. Given their central role in proteomics, it is imperative that these tools are auditable and extensible-requirements that are best fulfilled by open-source and permissively licensed software. This work presents Sage, a high-performance, open-source, and freely available proteomics pipeline. Scalable and cloud-ready, Sage matches the performance of state-of-the-art software tools while running an order of magnitude faster.
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