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Dear developers. We are developing a couple of R packages for analysis of MS data over at RforMassSpectrometry, including also xcms which can be combined in a very flexible way to create reproducible LC-MS(/MS) analysis workflows. I think it would be great if there was the possibility to easily integrate/embed also your DecoID in such workflows. While we could export experimental MS/MS spectra to csv (or msp) files and use them as input to your tool, it would be maybe more efficient to directly provide such data as a python data structure instead. Is there a possibility to call directly the python functions providing the data as a python object/representation? Maybe this already possible and I've just overlooked it - in that case, could you point me to the API/relevant documentation for that?
All this would simplify usage and improve user experience, which I believe would be important to ensure reliable and reproducible analyses.
Thanks in advance for any feedback!
Maybe as additional info: we did already successfully integrate python packages (matchms) into R through the SpectriPy package, that internally converts our MS data structures in R to python data structures, calls the python functions from the library and returns and converts its results back into R.
The text was updated successfully, but these errors were encountered:
Dear developers. We are developing a couple of R packages for analysis of MS data over at RforMassSpectrometry, including also xcms which can be combined in a very flexible way to create reproducible LC-MS(/MS) analysis workflows. I think it would be great if there was the possibility to easily integrate/embed also your DecoID in such workflows. While we could export experimental MS/MS spectra to csv (or msp) files and use them as input to your tool, it would be maybe more efficient to directly provide such data as a python data structure instead. Is there a possibility to call directly the python functions providing the data as a python object/representation? Maybe this already possible and I've just overlooked it - in that case, could you point me to the API/relevant documentation for that?
All this would simplify usage and improve user experience, which I believe would be important to ensure reliable and reproducible analyses.
Thanks in advance for any feedback!
Maybe as additional info: we did already successfully integrate python packages (
matchms
) into R through the SpectriPy package, that internally converts our MS data structures in R to python data structures, calls the python functions from the library and returns and converts its results back into R.The text was updated successfully, but these errors were encountered: