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The proposed FIPA-OS autonomous workflow management system uses a workflow co-ordination mechanism and an agent integration mechanism to enable the routine daily jobs error handle.
The proposed JADE-based autonomous workflow management system (JAWMS) uses a workflow coordination mechanism and an agent integration mechanism to enable the analysis, management and interaction of automated design processes.
This process can be potentially shortened by integrating metabolite profiling and identification into a single autonomous workflow.
To test the efficacy of our autonomous workflow a complex biological matrix from bacterial biofilm culture was investigated.
The overall design of the autonomous workflow approach is to simultaneously acquire MS and MS/MS data during each LC/MS run.
Additional experiments were performed to demonstrate the effectiveness of the autonomous workflow for metabolite identification through METLIN tandem mass spectral matches.
The autonomous workflow has many benefits for untargeted metabolomics; it saves weeks of mass spectrometry time as well as inspection time for manually picking out significant peaks.
The affected purine metabolism was chosen as an example to demonstrate the effectiveness of the autonomous workflow for identifying biologically relevant metabolites.
An autonomous workflow that allows for simultaneous MS and MS/MS data acquisition will enable relative quantification and structural characterization for the thousands of features observed using untargeted metabolomics.
The basis of the autonomous metabolomic workflow is high resolution sequential MS and MS/MS data acquisition.
An autonomous metabolomic workflow combining mass spectrometry analysis with tandem mass spectrometry data acquisition was designed to allow for simultaneous data processing and metabolite characterization.
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