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Phili

@philouail.bsky.social
70 followers 153 following 8 posts

A happy (and a bit stressed) PhD student, doing her best to navigate software development in R and having fun doing it. Wanna learn LC-MS/MS analysis in R ? Click github.com/rformassspectrometry/Met…

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Phili @philouail.bsky.social · 05/10/2026
Chromatograms is out in Analytical Chemistry! Chromatographic data in R, in memory, on disk or computed on demand, now part of xcms and tested on 4,000+ LC-MS files. Thanks to my amazing co-authors and specifically @jorainer.bsky.social doi.org/10.1021/acs.... #RStats #Bioconductor #MassSpec
doi.org
Chromatograms: A Modular Infrastructure for Scalable Chromatographic Data Handling in R
Abstract. Chromatographic traces are central to LC-MS analysis, yet most software treats them as transient intermediates inside a fixed pipeline rather tha
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Johannes Rainer @jorainer.bsky.social · 05/10/2026
🚨our educational resource for #reproducible #metabolomics data analysis using @bioconductor.bsky.social and #rstats integrating #Python and #SIRIUS6 is now published! 👉 #Metabonaut bit.ly/4z9WaYZ 📄 doi.org/10.1007/s113... Great work from @philouail.bsky.social and big thanks to all contributors! 🙌
bit.ly
Exploring and Analyzing LC-MS Data
This resource hosts tutorials and end-to-end workflows describing how to analyze LC-MS/MS data, from raw files to annotation, using Bioconductor packages.
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Johannes Rainer @jorainer.bsky.social · 20/05/2026
Today @philouail.bsky.social received the Open Research Award from Eurac Research for her contributions to open and collaborative #metabolomics . Very well deserved! 💪🥳 #proudPI
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Johannes Rainer @jorainer.bsky.social · 07/01/2026
let's get the community rolling 💪! Thanks to Vilhelm Suksi from @antagomir.bsky.social 's group for the contribution of the notame vignette 🙌
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Phili @philouail.bsky.social · 07/01/2026
🚀 New release: Metabonaut v1.4.0 is here! 1️⃣ New integration with the notame package for robust feature selection. 2️⃣ Added GNPS2 FBMN export for molecular networking. Explore the updates: rformassspectrometry.github.io/Metabonaut/ #Metabolomics #RStats #OpenScience #MassSpec #Bioconductor
rformassspectrometry.github.io
Exploring and Analyzing LC-MS Data
This resource hosts tutorials and end-to-end workflows describing how to analyze LC-MS/MS data, from raw files to annotation, using Bioconductor packages.
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Johannes Rainer @jorainer.bsky.social · 16/12/2025
my workshop is available here: jorainer.github.io/xcms4gnps2/ - with contribution from @philouail.bsky.social
jorainer.github.io
xcms-based data preprocessing for FBMN with GNPS2
xcms *for* GNPS2 provides an example workflow for preprocessing and preparation of an LC-MS/MS data set for feature-based molecular networking (FBMN) with GNPS2 on the example of a publicly available ...
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Johannes Rainer @jorainer.bsky.social · 09/12/2025
Great work from @philouail.bsky.social 🙌 #xcms now fully integrated into @bioconductor.bsky.social 💪 👉 #metabolomics #MassSpectrometry #rstats
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Johannes Rainer @jorainer.bsky.social · 17/09/2025
@philouail.bsky.social presenting the #Metabonaut tutorials for #metabolomics data analysis at #EuroBioC2025 @bioconductor.bsky.social conference. @human-dn.bsky.social #MassSpectrometry #ProudPI
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Phili @philouail.bsky.social · 07/07/2025
here it is: doi.org/10.5281/zeno...
doi.org
xcms at 20 and still in Peak form: Now anchoring a complete ecosystem for metabolomics data preprocessing and analysis.
High-quality data preprocessing is essential for untargeted metabolomics experiments, where increasing dataset scale and complexity demands adaptable, robust, and reproducible software solutions. Mode...
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Phili @philouail.bsky.social · 26/06/2025
Will do too !
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Johannes Rainer @jorainer.bsky.social · 26/06/2025
Philippine @philouail.bsky.social presenting #xcms , summary of 20 years development and recent extensions at the #MetSoc2025 conference! #ProudPI 😎 #rstats @bioconductor.bsky.social #metabolomics #MassSpectrometry
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Phili @philouail.bsky.social · 26/06/2025
Thank you so much 🥰
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Florian Huber @me-datapoint.bsky.social · 26/06/2025
@jorainer.bsky.social and @philouail.bsky.social gave a great overview of the ecosystem around #RforMassSpectrometry and #XCMS! #MetSoc25 I am super glad they now also provide options to combine with #Python and #matchms (thanks🙏)
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Phili @philouail.bsky.social · 04/06/2025
🚀 New in Metabonaut: tested xcms on a 4,000+ sample LC-MS dataset — all on a laptop! 💻 Fully reproducible + now possible thanks to dev improvements in xcms. Vignette: rformassspectrometry.github.io/Metabonaut/a... Big thanks to @jorainer.bsky.social #RStats #MassSpec #OpenScience #Metabonaut
rformassspectrometry.github.io
Large Scale Data Preprocessing with xcms
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Johannes Rainer @jorainer.bsky.social · 18/04/2025
Work from @philouail.bsky.social with contributions from William Kumler, Pablo Vangeenderhuysen and Carl Brunius! Thanks! 🥳
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Johannes Rainer @jorainer.bsky.social · 11/04/2025
And big thanks also to the @eubic-ms.org hackathon team contributing to our #SpectriPy package github.com/RforMassSpec... ! Next on the list submission of the package to 👉 @bioconductor.bsky.social
github.com
GitHub - rformassspectrometry/SpectriPy: Interfacing R's Spectra package with the Python world.
Interfacing R's Spectra package with the Python world. - rformassspectrometry/SpectriPy
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James Milner @jameslmilner.com · 23/02/2025
One thing maybe not discussed enough is the long term opportunity cost of not investing and supporting open source software. Imagine the more and better Blenders, GIMPs, Firefoxs, InkScapes, QGISs etc we would of had (+ could have) if open source was taken more seriously by government and businesses
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Marine Tondelier @marinetondelier.fr · 11/04/2025
Je ne ferai pas de starter pack. Ni de dessins copiant Ghibli sans l'autorisation de Miyazaki. Ces images générées par IA sont irrespectueuses pour des artistes déjà précaires. Et c'est un gouffre énergétique insensé. Je préfère qu'il reste de l'eau et de l'art à nos enfants.
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Phili @philouail.bsky.social · 11/04/2025
Combine R + Python seamlessly for LC-MS/MS annotation using #SpectriPy 🧬 Fully reproducible with public #MetaboLights data 🔗 rformassspectrometry.github.io/Metabonaut/a... #RStats #MassSpec
rformassspectrometry.github.io
LC-MS/MS Data Annotation using R and Python
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Phili @philouail.bsky.social · 31/03/2025
🚀 Starting the week by sharing Metabonaut: rformassspectrometry.github.io/Metabonaut/ A collection of comprehensive tutorials for LC-MS/MS data analysis in R! Learn raw data processing, annotation & stats with xcms, RforMassSpectrometry & Bioconductor—all reproducible & community-driven! #rstats
rformassspectrometry.github.io
Exploring and Analyzing LC-MS Data
This resource hosts tutorials and end-to-end workflows describing how to analyze LC-MS/MS data, from raw files to annotation, using Bioconductor packages.
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