FlashLFQ — ultrafast label-free quantification for mass spectrometry proteomics. Quantifies peptide and protein abundances from MS/MS identifications using peak detection on raw/mzML spectra. Supports
Use with AI
Install the MCP server or CLI to instantly fetch FlashLFQ documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/flashlfq
docker pull biocontainers/flashlfq:2.1.4DIA-NN (Data-Independent Acquisition by Neural Networks) is a universal software suite for DIA proteomics data analysis. Processes raw mass spectrometry files (.mzML, .raw, .d, .wiff) using neural net
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AlphaPept — Python-based, open-source proteomics pipeline for DDA mass spectrometry data analysis. Provides feature detection, peptide identification via database search, deep learning-based scoring,
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Comet — open-source tandem mass spectrometry (MS/MS) sequence database search engine for peptide identification. Searches MS/MS spectra against FASTA protein databases producing pepXML, mzIdentML, SQT
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MaxQuant — quantitative proteomics platform for analyzing large-scale mass spectrometry data. Integrates the Andromeda search engine for peptide identification, supports label-free quantification (LFQ
2 shared topics • 1 shared operation