OpenMS Installers#
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Windows |
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macOS |
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GNU/Linux |
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Workflows#
Workflow |
Description |
Download Link |
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Label-free identification and quantification using the comet search engine, the ProteomicsLFQ tool and statistical down-stream processing using MSstats. Compared to the other proteomics LFQ workflows, it is less complex as it combines quantification and inference steps in a single ProtemicLFQ tool. |
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Label-free identification using the omssa search engine. |
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Metabolomics assay library construction with decoy generation from DDA data and targeted DIA analysis using OpenSWATH and pyprophet for statistical validation. |
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Identification and quantification for isobaric experiments using MSGFPlus as search engine, epifany for inference and MSstatsTMT for statistical down-stream analysis. |
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Label-free with protein quantification steps implemented using individual OpenMS tools |
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Quantification and identification via accurate mass based on multiple adduct grouping steps (adducts, neutral losses). |
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Quantification and identification via adduct grouping and de-novo identification using SIRIUS/CSI:FingerID. |
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Quantification and identification via accurate mass based with downstream processing and visualisation. |
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Identification via spectral library search for small molecules. |
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Post processing workflow for using MSstats based on “Example_OneTool_ProteomicsLFQ_MSstats.knwf” |
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Post processing workflow for using MSstatsTMT based on “Identification_quantification_with_inference_isobaric_epifany_MSstatsTMT”. |
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Targeted extraction and scoring of transitions in DIA data based on an (iRT) assay library. |
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Identification of Phosphorilation sites. |
OpenMS Releases#
Release |
Installers |
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Stable release |
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Release candidates |
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Nightly release |