#rformassspectrometry — Public Fediverse posts

Sharing our 🚀 Metabonaut resource:

A collection of comprehensive tutorials for LC-MS/MS #metabolomics data analysis in :rstats: by @phili et al.

Learn raw data processing, annotation & stats with #xcms, #RforMassSpectrometry & @bioconductor - all reproducible & community-driven! #rstats

#CompMS #teammassspec

https://rformassspectrometry.github.io/Metabonaut/

Sharing our 🚀 Metabonaut resource:

A collection of comprehensive tutorials for LC-MS/MS #metabolomics data analysis in :rstats: by @phili et al.

Learn raw data processing, annotation & stats with #xcms, #RforMassSpectrometry & @bioconductor - all reproducible & community-driven! #rstats

#CompMS #teammassspec

https://rformassspectrometry.github.io/Metabonaut/

Sharing our 🚀 Metabonaut resource:

A collection of comprehensive tutorials for LC-MS/MS #metabolomics data analysis in :rstats: by @phili et al.

Learn raw data processing, annotation & stats with #xcms, #RforMassSpectrometry & @bioconductor - all reproducible & community-driven! #rstats

#CompMS #teammassspec

https://rformassspectrometry.github.io/Metabonaut/

Sharing our 🚀 Metabonaut resource:

A collection of comprehensive tutorials for LC-MS/MS #metabolomics data analysis in :rstats: by @phili et al.

Learn raw data processing, annotation & stats with #xcms, #RforMassSpectrometry & @bioconductor - all reproducible & community-driven! #rstats

#CompMS #teammassspec

https://rformassspectrometry.github.io/Metabonaut/

Sharing our 🚀 Metabonaut resource:

A collection of comprehensive tutorials for LC-MS/MS #metabolomics data analysis in :rstats: by @phili et al.

Learn raw data processing, annotation & stats with #xcms, #RforMassSpectrometry & @bioconductor - all reproducible & community-driven! #rstats

#CompMS #teammassspec

https://rformassspectrometry.github.io/Metabonaut/

Our proposed hackathon to improve integration of #rstats :rstats: and #Python :python: packages for #MassSpectrometry was selected for the #EuBIC2025 @EuBIC_MS developer meeting! 🥳

Looking forward to expand and improve our SpectryPy package https://bit.ly/4hQfhj1

#TeamMassSpec #Metabolomics #RforMassSpectrometry

@bioconductor 3.20 is out with two of our new #RforMassSpectrometry :rstats: packages:

- SpectraQL

- MsBackendMetaboLights

big thanks to @phili
#Metabolomics #MassSpectrometry

And @phili with her poster on a complete end-to-end workflow for untargeted #metabolomics data analysis in #rstats with @bioconductor and #RforMassSpectrometry #xcms etc

#MetSoc2024 poster # 1008

👉 https://doi.org/10.5281/zenodo.11370612 👀

And @phili with her poster on a complete end-to-end workflow for untargeted #metabolomics data analysis in #rstats with @bioconductor and #RforMassSpectrometry #xcms etc

#MetSoc2024 poster # 1008

👉 https://doi.org/10.5281/zenodo.11370612 👀

And @phili with her poster on a complete end-to-end workflow for untargeted #metabolomics data analysis in #rstats with @bioconductor and #RforMassSpectrometry #xcms etc

#MetSoc2024 poster # 1008

👉 https://doi.org/10.5281/zenodo.11370612 👀

And @phili with her poster on a complete end-to-end workflow for untargeted #metabolomics data analysis in #rstats with @bioconductor and #RforMassSpectrometry #xcms etc

#MetSoc2024 poster # 1008

👉 https://doi.org/10.5281/zenodo.11370612 👀

And @phili with her poster on a complete end-to-end workflow for untargeted #metabolomics data analysis in #rstats with @bioconductor and #RforMassSpectrometry #xcms etc

#MetSoc2024 poster # 1008

👉 https://doi.org/10.5281/zenodo.11370612 👀

Thrilled to be at #MetSoc2024 conference in Osaka 🇯🇵!

I'll have poster # 1006 on our #RforMassSpectrometry effort and the related :rstats: #rstats @bioconductor packages!

For those not at the conference: also available on zenodo: https://doi.org/10.5281/zenodo.11370345

Now @lgatto , beat this 😎☺️

#RforMassSpectrometry #rstats #metabolomics #proteomics

And btw - that's the new treat - pins (!) in addition to stickers for our #Spectra #RforMassSpectrometry @bioconductor :rstats: package! 😎

#massspectrometry #metabolomics #proteomics

The startup message of the #MSnbase package for #MassSpectrometry and #Proteomics has been update in version 2.29.2, and now officially asks users to look into the #RforMassSpectrometry initiative packages:

> library(MSnbase)
This is MSnbase version 2.29.2
Visit https://lgatto.github.io/MSnbase/ to get started.
Consider switching to the 'R for Mass Spectrometry'
packages - see https://RforMassSpectrometry.org for details.

Got some new stuff to share at conferences ☺️ - #RforMassSpectrometry pins!

for users of our #rstats :rstats: #MassSpectrometry #metabolomics #proteomics @bioconductor packages 🥳

Recent extension to our #MsExperiment @bioconductor :rstats: package:

Store sample annotations and phenodata along with whole #MassSpectrometry data into SQL databases.

Details: https://bit.ly/489SSaP

#TeamMassSpec #Metabolomics #Proteomics #RforMassSpectrometry

Stickers are OK, but ... going to the next level ☺️

#RforMassSpectrometry :rstats: @bioconductor #MassSpectrometry #Metabolomics #Proteomics

#xcms version 4 is here!

Now we use the full power of the #Bioconductor #Spectra :rstats: package and the #RforMassSpectrometry package ecosystem 🥳

#MassSpectrometry #Metabolomics

Available through @bioconductor release 3.18

A small tutorial (incl :docker:) showcasing this update: https://bit.ly/3QxVxFf

#xcms version 4 is here!

Now we use the full power of the #Bioconductor #Spectra :rstats: package and the #RforMassSpectrometry package ecosystem 🥳

#MassSpectrometry #Metabolomics

Available through @bioconductor release 3.18

A small tutorial (incl :docker:) showcasing this update: https://bit.ly/3QxVxFf

#xcms version 4 is here!

Now we use the full power of the #Bioconductor #Spectra :rstats: package and the #RforMassSpectrometry package ecosystem 🥳

#MassSpectrometry #Metabolomics

Available through @bioconductor release 3.18

A small tutorial (incl :docker:) showcasing this update: https://bit.ly/3QxVxFf

#xcms version 4 is here!

Now we use the full power of the #Bioconductor #Spectra :rstats: package and the #RforMassSpectrometry package ecosystem 🥳

#MassSpectrometry #Metabolomics

Available through @bioconductor release 3.18

A small tutorial (incl :docker:) showcasing this update: https://bit.ly/3QxVxFf

#xcms version 4 is here!

Now we use the full power of the #Bioconductor #Spectra :rstats: package and the #RforMassSpectrometry package ecosystem 🥳

#MassSpectrometry #Metabolomics

Available through @bioconductor release 3.18

A small tutorial (incl :docker:) showcasing this update: https://bit.ly/3QxVxFf

Noteworthy addition to our #MetaboAnnotation #RforMassSpectrometry #Bioconductor package :

create *mixes* of standards ensuring m/z values of adducts/ions for these are not overlapping. Thanks @phili for implementing.

Available in @bioconductor release 3.18

Details: https://bit.ly/3Qk4ZuN

For those interested: https://github.com/jorainer/xcmsTutorials

There's also a :docker: image available of course.

#MassSpectrometry #Metabolomics #ComputationalMetabolomics #RforMassSpectrometry

One thing I want to try is to store ms data in a database. It would be neat to have a schema/protocol based on MsBackendSql (https://rformassspectrometry.github.io/MsBackendSql/articles/MsBackendSql.htm) to use it from different programming languages.

#bioinformatics #teammassspec #rstats #rformassspectrometry

@lgatto @translational_proteomics

You could use #xcms in combination with all other #RforMassSpectrometry package. Maybe more info here: https://jorainer.github.io/xcmsTutorials/

@lgatto @translational_proteomics

You could use #xcms in combination with all other #RforMassSpectrometry package. Maybe more info here: https://jorainer.github.io/xcmsTutorials/

@lgatto @translational_proteomics

You could use #xcms in combination with all other #RforMassSpectrometry package. Maybe more info here: https://jorainer.github.io/xcmsTutorials/

@lgatto @translational_proteomics

You could use #xcms in combination with all other #RforMassSpectrometry package. Maybe more info here: https://jorainer.github.io/xcmsTutorials/

@lgatto @translational_proteomics

You could use #xcms in combination with all other #RforMassSpectrometry package. Maybe more info here: https://jorainer.github.io/xcmsTutorials/

Interested in the @bioconductor #rstats :rstats: package ecosystem for #metabolomics data analysis from #RforMassSpectrometry ?

Check our poster #1002 (Mo + Tue) at #MetSoc2023

#OpenSoftwareDevelopment rules! 15 contributors from 13 institutions.

Also available on Zenodo:
https://doi.org/10.5281/zenodo.7936786

Lecture on proteomics by @lgatto at #csama 2023 including an overview on the :rstats: package ecosystem from #RforMassSpectrometry #MassSpec

Our #MsBackendSql :rstats: package is part of @bioconductor release 3.17 🎉

Allows our #Spectra package to store/read #MassSpec data to/from #SQL databases. #RforMassSpectrometry

https://github.com/rformassspectrometry/MsBackendSql

@lgatto @toschber excellent idea - could go into #Chromatograms or #xcms (maybe along with the peak detection method?).

As Laurent said, we at #RforMassSpectrometry are always open for contributions from the community

@lgatto @toschber excellent idea - could go into #Chromatograms or #xcms (maybe along with the peak detection method?).

As Laurent said, we at #RforMassSpectrometry are always open for contributions from the community

@lgatto @toschber excellent idea - could go into #Chromatograms or #xcms (maybe along with the peak detection method?).

As Laurent said, we at #RforMassSpectrometry are always open for contributions from the community

@lgatto @toschber excellent idea - could go into #Chromatograms or #xcms (maybe along with the peak detection method?).

As Laurent said, we at #RforMassSpectrometry are always open for contributions from the community

@lgatto @toschber excellent idea - could go into #Chromatograms or #xcms (maybe along with the peak detection method?).

As Laurent said, we at #RforMassSpectrometry are always open for contributions from the community