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Sage: An Open-Source Tool for Fast Proteomics Searching and Quantification at Scale.

Michael R Lazear
Published in: Journal of proteome research (2023)
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.
Keyphrases
  • mass spectrometry
  • label free
  • data analysis
  • electronic health record
  • deep learning
  • molecular dynamics