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This workflow should be built for the "large" in-house libraries, therefore should include the steps to add Charge, Ionmode and Adduct as hard coded values and then to derive precursor_mz using matchms. We can start developing this using a single chunk from our dataset.
For the last step, the peak overwriting tool in RECETOX/galaxytools#485 is needed.
MSMetaEnhancer: collect InChi using pubchem
MSMetaEnhancer: collect Isomeric_smiles from IDSM
matchms filtering: filter invalid smiles and inchi
After all the steps are included in the workflow, the workflow should be downloaded and deposited here on this repo.
The workflow file can then also be deposited on Zenodo.
The text was updated successfully, but these errors were encountered:
This workflow should be built for the "large" in-house libraries, therefore should include the steps to add
Charge
,Ionmode
andAdduct
as hard coded values and then to derive precursor_mz using matchms. We can start developing this using a single chunk from our dataset.For the last step, the peak overwriting tool in RECETOX/galaxytools#485 is needed.
After all the steps are included in the workflow, the workflow should be downloaded and deposited here on this repo.
The workflow file can then also be deposited on Zenodo.
The text was updated successfully, but these errors were encountered: