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86 results for “jorainer”
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@jorainer ah, good catch! "Euro" in Boston was a bit of a geographic leap – we're indeed landing in Oxford. Thanks for steering us right! Looking forward to seeing you there! 😉 #EuroBioC2024
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For those interested: https://github.com/jorainer/xcmsTutorials
There's also a :docker: image available of course.
#MassSpectrometry #Metabolomics #ComputationalMetabolomics #RforMassSpectrometry
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@lgatto @translational_proteomics
You could use #xcms in combination with all other #RforMassSpectrometry package. Maybe more info here: https://jorainer.github.io/xcmsTutorials/
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@lgatto @translational_proteomics
You could use #xcms in combination with all other #RforMassSpectrometry package. Maybe more info here: https://jorainer.github.io/xcmsTutorials/
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@lgatto @translational_proteomics
You could use #xcms in combination with all other #RforMassSpectrometry package. Maybe more info here: https://jorainer.github.io/xcmsTutorials/
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@lgatto @translational_proteomics
You could use #xcms in combination with all other #RforMassSpectrometry package. Maybe more info here: https://jorainer.github.io/xcmsTutorials/
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@lgatto @translational_proteomics
You could use #xcms in combination with all other #RforMassSpectrometry package. Maybe more info here: https://jorainer.github.io/xcmsTutorials/
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Updates from our continuous development of the #xcms #rstats :rstats: #metabolomics package:
👉 retention time alignment against external data set
👉 chromatographic peak quality metrics
👉 preformance improvementsAll available in current version in @bioconductor release 3.21 🚀
Up next: memory-saving analysis of very large data sets!
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Updates from our continuous development of the #xcms #rstats :rstats: #metabolomics package:
👉 retention time alignment against external data set
👉 chromatographic peak quality metrics
👉 preformance improvementsAll available in current version in @bioconductor release 3.21 🚀
Up next: memory-saving analysis of very large data sets!
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Updates from our continuous development of the #xcms #rstats :rstats: #metabolomics package:
👉 retention time alignment against external data set
👉 chromatographic peak quality metrics
👉 preformance improvementsAll available in current version in @bioconductor release 3.21 🚀
Up next: memory-saving analysis of very large data sets!
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Updates from our continuous development of the #xcms #rstats :rstats: #metabolomics package:
👉 retention time alignment against external data set
👉 chromatographic peak quality metrics
👉 preformance improvementsAll available in current version in @bioconductor release 3.21 🚀
Up next: memory-saving analysis of very large data sets!
-
Updates from our continuous development of the #xcms #rstats :rstats: #metabolomics package:
👉 retention time alignment against external data set
👉 chromatographic peak quality metrics
👉 preformance improvementsAll available in current version in @bioconductor release 3.21 🚀
Up next: memory-saving analysis of very large data sets!
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Update! The upcoming version of our MsBackendMgf :rstats: #rstats @bioconductor package will support import from *annotated* MGF files 🥳
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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
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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
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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
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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
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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
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Having a great time at the #EuBIC2025 developers meeting with our #SpectriPy hackathon for combined #rstats :rstats: / #Python :python: #MassSpec data analysis.
Here part of our team on a short hike ⛰️ to get some fresh air for our 🧠
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On my way to the @EuBIC_MS developers meeting #EuBIC2025 🥳 - with my 🚲😊
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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
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SpectraQL https://bit.ly/3UqoPXN adds support for the #MassQL query language to :rstats: / #Spectra
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@bioconductor 3.20 is out with two of our new #RforMassSpectrometry :rstats: packages:
- SpectraQL
- MsBackendMetaboLights
big thanks to @phili
#Metabolomics #MassSpectrometry -
Now @schymane with her keynote in the environmental exposures session at #MetSoc2024 🇯🇵
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Now @schymane with her keynote in the environmental exposures session at #MetSoc2024 🇯🇵
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Now @schymane with her keynote in the environmental exposures session at #MetSoc2024 🇯🇵
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Now @schymane with her keynote in the environmental exposures session at #MetSoc2024 🇯🇵
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Now @schymane with her keynote in the environmental exposures session at #MetSoc2024 🇯🇵
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Met fellow @bioconductor Community Advisory Board member @kozo2 for the first time IN PERSON at the #MetSoc2024 conference in Osaka 🇯🇵.
Thanks for the nice dinner!
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