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Adriano Rutz

@adafede.bsky.social
111 followers 246 following 7 posts
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Reposted by Adriano Rutz
Rob Waterhouse @rmwaterhouse.bsky.social · 13/08/2026
#Datarium - émane de l'Institut Suisse de Bioinformatique (SIB, @sib.swiss), en partenariat avec les Hôpitaux universitaires de Genève (HUG) et l'Université de Genève www.swissinfo.ch/fre/une-expo...
swissinfo.ch
Une exposition en plein air à Genève sur les données du vivant
Peu connue, la science des données du vivant sort de l'ombre à Genève avec une exposition à découvrir en plein air au Parc des Bastions et ensuite à la Rotonde du Mont-Blanc. Des panneaux explicatifs ...
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Reposted by Adriano Rutz
Natural Product Reports @natprodreports.rsc.org · 10/07/2026
🔓Take a look in our latest issue at a #OpenAccess review from @adafede.bsky.social, @mehdibeni.bsky.social et al. exploring the potential of bioinformatics and chemoinformatics tools to advance the exploration of natural extracts libraries #natprod doi.org/10.1039/d5np...
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Reposted by Adriano Rutz
Nature Portfolio @natureportfolio.nature.com · 09/07/2026
Climate change may reduce the native plant species used by Indigenous cultures in the Amazon basin by one-third, according to research in Nature. The reduction could result in the loss of a quarter of the knowledge associated with the uses of Amazonian plant species by the end of the century. 🌎🧪
go.nature.com
The forest of knowledge under global change - Nature
The biocultural heritage of the Amazon, its plant species, plant services and cultures are at risk from climate change.
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Reposted by Adriano Rutz
Florian Huber @me-datapoint.bsky.social · 30/06/2026
Our fingerprint analysis work has now been published 🎉 --> link.springer.com/article/10.1... Also check out our small helper library #chemap --> github.com/matchms/chemap (work together with @julianpollmann.bsky.social) #cheminformatics #openscience #Python
link.springer.com
Count your bits: fingerprint benchmarking to assess broad chemical space representation - Journal of Cheminformatics
Quantifying molecular similarity is a cornerstone of cheminformatics, underpinning applications from virtual screening and nearest-neighbor search to chemical space visualization and the evaluation of...
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Adriano Rutz @adafede.bsky.social · 30/06/2026
EAD is still rare in public libraries so hopefully this fills a bit of that gap. everything CC0, on Zenodo, and MassIVE. huge thanks to the @gnps2.bsky.social team, open science only works because infra like that exists. github.com/zamboni-lab/... @gigascience.bsky.social: doi.org/10.1093/giga...
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Adriano Rutz @adafede.bsky.social · 30/06/2026
new spectral library: MultiMS2 ~43k MS2 spectra, ~2900 compounds, CID + EAD, three energies each, both polarities, multiple ion species. 1/n
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NFDI4Chem @nfdi4chem.de · 09/03/2026
Expensive software licences are slowing down research. NFDI4Chem and FID Chemistry are committed to digital sovereignty through an open-source solution for chemistry structure editors. Help shape the future of drawing now! 👉 To the survey: t1p.de/p5b9p #OpenScience #Chemistry #NFDI4Chem
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Reposted by Adriano Rutz
BF Francis Ouellette @bffo.bsky.social · 07/02/2026
From @dessimoz.bsky.social and colleagues in @nature.com 's #Scientific #Data | The missing link in FAIR data policy: biodata resources in life sciences | #FAIR #Genomics #OpenScience #OpenSource #Proteomics 🧬 🖥️ 🧪 🔓 ⬇️ www.nature.com/articles/s41...
nature.com
The missing link in FAIR data policy: biodata resources in life sciences - Scientific Data
In the life sciences, FAIR principles have reshaped research policy, but their implementation still relies largely on individual researchers – many of whom lack the expertise or support needed to make...
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Reposted by Adriano Rutz
Egon Willighagen @egonw.social.edu.nl.ap.brid.gy · 31/12/2025
new blog post: "Rescuing @wdscholia #2: getting closer" chem-bla-ics.linkedchemistry.info/2… doi.org/10.59350/6t2qh-2f839 "But we are getting close. So, please give qlever.scholia.wiki a go, and let us know your observations. As […]
social.edu.nl
Original post on social.edu.nl
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Reposted by Adriano Rutz
Mitja M. Zdouc @mmzdouc.bsky.social · 11/12/2025
Speaking of MIBiG hackathons: iteration 5.0 it is planned for spring 2026 and registrations are open! Please sign up if you are interested and feel free to share with your colleagues! (7/8) forms.gle/JKsf3XL3d1XN...
forms.gle
MIBiG 5.0 Annotathons Registration Form
Planned for spring 2026
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Mitja M. Zdouc @mmzdouc.bsky.social · 11/12/2025
Have you ever used a #bioinformatics #database and were frustrated by its lack of coverage? Did you ever think about starting your own resource? We just published a new strategy for community-driven #biocuration, based on our experiences with the #MIBiG database (1/8)! doi.org/10.1093/bib/...
doi.org
Strategies for community-sourced biocuration in bioinformatics: a case study on MIBiG 4.0
Abstract. Biocuration is essential to transform molecular sequence data into standardized, machine-readable resources. Such curated datasets enable compara
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Reposted by Adriano Rutz
SIB Swiss Institute of Bioinformatics @sib.swiss · 10/12/2025
👉 Point your friends, family and connections to our new video 📹 on the point of bioinformatics! The 90-second video is available in: 🇬🇧 youtu.be/yjbv1WZcM2M 🇫🇷 youtu.be/BG-h_nxwSE4 🇩🇪 youtu.be/e4S4m1IhfiU 🇮🇹 youtu.be/V4QcZHjnsGo
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Reposted by Adriano Rutz
Yasin El Abiead @yelabiead.bsky.social · 03/12/2025
The existence of unintentional fragmentation (often referred to as in-source fragments) in untargeted #metabolomics data can cause uncertainty among newcomers to the field and skepticism among data consumers such as medical experts or biologists. pubs.acs.org/doi/10.1021/...
pubs.acs.org
A Perspective on Unintentional Fragments and Their Impact on the Dark Metabolome, Untargeted Profiling, Molecular Networking, Public Data, and Repository Scale Analysis
In/postsource fragments (ISFs) arise during electrospray ionization or ion transfer in mass spectrometry when molecular bonds break, generating ions that can complicate data interpretation. Although ISFs have been recognized for decades, their contribution to untargeted metabolomics─particularly in the context of the so-called “dark matter” (unannotated MS or MS/MS spectra) and the “dark metabolome” (unannotated molecules)─remains unsettled. This ongoing debate reflects a central tension: while some caution against overinterpreting unidentified signals lacking biological evidence, others argue that dismissing them too quickly risks overlooking genuine molecular discoveries. These discussions also raise a deeper question: what exactly should be considered part of the metabolome? As metabolomics advances toward large-scale data mining and high-throughput computational analysis, resolving these conceptual and methodological ambiguities has become essential. In this perspective, we propose a refined definition of the “dark metabolome” and present a systematic overview of ISFs and related ion forms, including adducts and multimers. We examine their impact on metabolite annotation, experimental design, statistical analysis, computational workflows, and repository-scale data mining. Finally, we provide practical recommendations─including a set of dos and do nots for researchers and reviewers─and discuss the broader implications of ISFs for how the field explores unknown molecular space. By embracing a more nuanced understanding of ISFs, metabolomics can achieve greater rigor, reduce misinterpretation, and unlock new opportunities for discovery.
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Reposted by Adriano Rutz
SIB Swiss Institute of Bioinformatics @sib.swiss · 30/10/2025
💡 No AI in health without great data. In @BilanMagazine’s health supplement, Christophe Dessimoz @dessimoz.bsky.social makes the case for Switzerland as a leader in trusted, high-quality health data — and how turning data into public value starts with strong infrastructures. 👇 Read more
sib.swiss
Reliable data for better care
Every medical revolution has been driven by a technological breakthrough: chemical synthesis paved the way for modern medicines, genetics for the first gene therapies. The next frontier will be determ...
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Reposted by Adriano Rutz
Analyst @analyst.rsc.org · 30/10/2025
Available to read now via Open Access: pubs.rsc.org/en/content/a... Fast, general-purpose metabolome analysis by mixed-mode liquid chromatography–mass spectrometry Nicola Zamboni et al @nzamboni.bsky.social @alaaothman.bsky.social @ethz.ch #MassSpec
pubs.rsc.org
Fast, general-purpose metabolome analysis by mixed-mode liquid chromatography–mass spectrometry
Comprehensive metabolomics requires robust and efficient analytical techniques capable of addressing the chemical diversity, complexity, and high sample throughput demands characteristic of large-scal...
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Reposted by Adriano Rutz
Wikimedia Foundation @wikimediafoundation.org · 29/10/2025
Wikidata has been recognized as a digital public good by the Digital Public Goods Alliance (DPGA) 🎉 Learn how Wikidata, which houses over 1.6 billion facts, advances education, innovation, and public institutions ➡️ wikimediafoundation.org/news/2025/10...
Ilse Falls in the Harz National Park, Germany. Text says: Wikidata is now the second Wikimedia project recognized as a digital public good.
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Lydia Pintscher @lydiapintscher.bsky.social · 29/10/2025
Thank you to everyone who’s been along for the ride for the past 13 years and those who will be for many more to come! diff.wikimedia.org/2025/10/29/b...
diff.wikimedia.org
Building an Internet for Everyone: Wikidata Recognized as a Digital Public Good
The Wikimedia Movement contributes every day toward a better internet, one that is free – filled with reliable information that belongs to everyone and benefits everyone. This is the ideal that the…
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Reposted by Adriano Rutz
Wikidata @wikidatacommunity.bsky.social · 29/10/2025
Every day, thousands of editors on #Wikidata provide open, reliable and trustworthy data to the world helping make technology more open and inclusive. Today, we are thrilled to announce that Wikidata has been recognized by the @DPGAlliance as a #DigitalPublicGood.
Wikidataians celebrate Wikidata being recognised as a Digital Public Good
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Reposted by Adriano Rutz
Rod Page @rdmpage.bsky.social · 22/10/2025
Slides from my #livingdata2025 talk "Wikis as sources of data and signal for the Biodiversity Heritage Library" are on @figshare.com doi.org/10.6084/m9.f... @biodivlibrary.bsky.social @wikidatacommunity.bsky.social #wikispecies @wikipedia.org
doi.org
Wikis as sources of data and signal for the Biodiversity Heritage Library
The Biodiversity Heritage Library (BHL) has over 63 million pages of content, which presents a major challenge: how do we discover content in these millions of pages? To date, discovery has relied on ...
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Reposted by Adriano Rutz
Christophe Dessimoz @dessimoz.bsky.social · 23/10/2025
Correspondence in Nature: to make FAIR a reality, fund the data resources and expertise—not just data-management plans. A call to action co-signed with @francesarnold.bsky.social, Rich Roberts, and Tim Hubbard. doi.org/10.1038/d415...
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Adriano Rutz @adafede.bsky.social · 15/10/2025
@skepteis.bsky.social brought us to a local place close to Arnhem! 🥞
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Adriano Rutz @adafede.bsky.social · 15/10/2025
Best part was the quadruple, and now also the Pannenkoeks!
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Johannes Rainer @jorainer.bsky.social · 06/10/2025
Reminder 👇 Interested in improving our R tools for #MassSpectrometry data analysis and integrating them into Galaxy? ⏲️ 3 year position 📍 Bolzano, 🇮🇹 👉 apply if you like: - #rstats SW development - @bioconductor.bsky.social - large-scale #metabolomics data analysis - hiking ⛰️ 🔗 bit.ly/46AMawx
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Egon Willigh☮gen 🟥 @egonw.mastodon.social.ap.brid.gy · 27/09/2025
I still love the @wdscholia DOI redirection tool. When the DOI is not listed in @wikidata, it will use @larsgw's @citationjs to create QuickStatements that can be used with @magnusmanske's tool to create a new Wikidata item. And it supports ORCID to link to authors, "title in HTML", mul, and […]
mastodon.social
Original post on mastodon.social
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Reposted by Adriano Rutz
Mitja M. Zdouc @mmzdouc.bsky.social · 27/09/2025
Aaand it's out! Meet MITE - the natural product tailoring enzyme database, just published in @narjournal.bsky.social! MITE DB captures the substrate- and reaction-specificity of tailoring enzymes, allowing to capture this information in a human- and machine-readable way! doi.org/10.1093/nar/...
doi.org
MITE: the Minimum Information about a Tailoring Enzyme database for capturing specialized metabolite biosynthesis
Abstract. Secondary or specialized metabolites show extraordinary structural diversity and potent biological activities relevant for clinical and industria
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Adriano Rutz @adafede.bsky.social · 21/09/2025
@mehdibeni.bsky.social drove it forward, and it was a pleasure to contribute with @robinschmid.bsky.social, @Wout Bittremieux, @Olivier Cailloux, and @jjjvanderhooft.bsky.social. It places the scalability of MS-based metabolomics for natural extracts as a central challenge rather than a side issue.
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Julian Trouillon @juliantrouillon.bsky.social · 01/09/2025
🥳 New paper out! In this work, we identified small molecule effectors modulating the activity of transcription factors in E. coli. Using metabolomics + transcriptomics, we could parse the entire regulatory network and predict signal molecules for 41 TFs! www.embopress.org/doi/full/10....
embopress.org
Predicting input signals of transcription factors in Escherichia coli | Molecular Systems Biology
imageimageThis study developed a systematic workflow leveraging transcriptomics and metabolomics to identify input signals for 41 transcription factors in E. coli. A systematic workflow was developed...
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Reposted by Adriano Rutz
Yasin El Abiead @yelabiead.bsky.social · 23/08/2025
If you’ve been following #metabolomics literature, you’ve probably seen a lot of debate on in-source fragmentation. We’ve put together a manuscript to clarify what it is, how to deal with it, and what it means for discovery in #metabolomics and #exposomics. doi.org/10.26434/che...
doi.org
A Perspective on Unintentional Fragments and their Impact on the Dark Metabolome, Untargeted Profiling, Molecular Networking, Public Data, and Repository Scale Analysis.
In/post-source fragments (ISFs) arise during electrospray ionization or ion transfer in mass spectrometry when molecular bonds break, generating ions that can complicate data interpretation. Although ISFs have been recognized for decades, their contribution to untargeted metabolomics - particularly in the context of the so-called “dark matter” (unannotated MS or MS/MS spectra) and the “dark metabolome” (unannotated molecules) - remains unsettled. This ongoing debate reflects a central tension: while some caution against overinterpreting unidentified signals lacking biological evidence, others argue that dismissing them too quickly risks overlooking genuine molecular discoveries. These discussions also raise a deeper question: what exactly should be considered part of the metabolome? As metabolomics advances toward large-scale data mining and high-throughput computational analysis, resolving these conceptual and methodological ambiguities has become essential. In this perspective, we propose a refined definition of the “dark metabolome” and present a systematic overview of ISFs and related ion forms, including adducts and multimers. We examine their impact on metabolite annotation, experimental design, statistical analysis, computational workflows, and repository-scale data mining. Finally, we provide practical recommendations - including a set of dos and don’ts for researchers and reviewers - and discuss the broader implications of ISFs for how the field explores unknown molecular space. By embracing a more nuanced understanding of ISFs, metabolomics can achieve greater rigor, reduce misinterpretation, and unlock new opportunities for discovery.
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Reposted by Adriano Rutz
Mitja M. Zdouc @mmzdouc.bsky.social · 21/08/2025
Into natural product biosynthesis & tailoring enzymes? Frustrated by the lack of a dedicated resource to explore their functions? Tired of endless literature searches for reaction info? Meet the MITE database, freely available at mite.bioinformatics.nl. Preprint: doi.org/10.26434/che... (1/8)
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PLOS Biology @plosbiology.org · 31/07/2025
What is the role of extracellular polymeric substances (EPS) in carbon exchange among microbial species? @sammy-pontrelli.bsky.social &co show that #EPS, formed via #chitin degradation, drives #MicrobialDiversity by acting as a sequentially degraded #CarbonSource @plosbiology.org 🧪 plos.io/3J9kbuu
Graphical illustration of how EPS is enzymatically degraded in multiple steps into smaller fragments, fueling the growth of non-degrading species: EPS degraders break down EPS into larger oligomers for oligomer consumers; further degradation into monomers and small oligomers supports non-degrading consumers.
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Egon Willighagen @egonw.social.edu.nl.ap.brid.gy · 20/07/2025
heading tomorrow to the InChI Technical Exchange Meeting Summer 2025 in Aachen/DE Looking forward to it, and particularly talking about the InChI for inorganics and trying that in @wikidata :) See doi.org/10.26434/chemrxiv-2025-53n0w And also the nano InChI, see […]
social.edu.nl
Original post on social.edu.nl
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Adriano Rutz @adafede.bsky.social · 18/07/2025
@skepteis.bsky.social You're not alone 😉
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Adriano Rutz @adafede.bsky.social · 18/07/2025
My feed just made it even better: As old as ChemDraw 🥳
Funny feed showing Daniel Probst and ChemDraw both turning 40
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Steffen Neumann @sneumann.bsky.social · 16/07/2025
🚀 We’ve launched the new MassBank! Now live at massbank.eu & massbank.jp — redesigned with a faster backend, better search, and powerful tools for exploring & sharing mass spectral data. Enjoy the fresh experience! Feedback and ideas welcome, please post them on github.com/MassBank/Mas...
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Roman Bushuiev @roman-bushuiev.bsky.social · 26/05/2025
Mass spectrometry is a key method to discover and identify molecules in biological and environmental samples. Yet, >90% of mass spectra remain hard to interpret. In our recent paper, we present DreaMS — a foundation model to interpret mass spectra of small molecules. www.nature.com/articles/s41...
nature.com
Self-supervised learning of molecular representations from millions of tandem mass spectra using DreaMS - Nature Biotechnology
A transformer model is used to construct the DreaMS Atlas—a molecular network of 201 million MS/MS spectra.
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Sammy Pontrelli @sammy-pontrelli.bsky.social · 28/04/2025
Excited to welcome our new Agilent Revident Q-TOF! We’re developing new approaches combining mass spectrometry and enzyme assays to study microbial interactions and carbon sequestration. We're hiring postdocs — reach out if interested! pontrellilab.sites.vib.be/en
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MetaboLinkAI @metabolinkai.bsky.social · 31/03/2025
Research engineer position on methods and tools for the construction, maintenance and querying of a decentralized knowledge hub in metabolomics lnkd.in/erh_eeTy
lnkd.in
LinkedIn
This link will take you to a page that’s not on LinkedIn
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MetaboLinkAI @metabolinkai.bsky.social · 31/03/2025
Post-Doctoral Research Visit F/M Post-Doctoral Position in AI and Human-Machine Interaction for Knowledge Graph Exploration in Metabolomics lnkd.in/ea8gzBzG
lnkd.in
LinkedIn
This link will take you to a page that’s not on LinkedIn
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MetaboLinkAI @metabolinkai.bsky.social · 31/03/2025
PhD Position F/M Computational approaches for knowledge graph mining and completion dealing with uncertainty lnkd.in/eZZrkuFb
lnkd.in
LinkedIn
This link will take you to a page that’s not on LinkedIn
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MetaboLinkAI @metabolinkai.bsky.social · 31/03/2025
Inria is opening three positions in the context of the ANR-SNF MetaboLinkAI project, which aspires to improve the analysis and interpretation of metabolomics data through a multidisciplinary approach that combines knowledge graphs, with artificial intelligence and machine learning techniques:
linkedin.com
#ai #knowledgegraphs | Fabien Gandon
Inria is opening three positions in the context of the ANR-SNF MetaboLinkAI project, which aspires to improve the analysis and interpretation of metabolomics…
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Daniel Probst @skepteis.bsky.social · 14/03/2025
We're offering a fully funded PhD at the intersection of ML/AI and the natural sciences with a focus on sustainability and chemistry. You'll work at WUR in the Netherlands, ranked #3 in environ. sciences, #1 in agricultural science, #38 in life sciences (QS). Apply here: www.wur.nl/nl/vacature/...
Photo of the inside of a university building at WUR, it looks like a mix of a greenhouse with offices that have balconies.
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World Food System Center, ETH Zurich @ethzwfsc.bsky.social · 13/03/2025
Welcome Dr. Serina Robinson to Our Center! 🎉 Dr. Robinson and her team at @eawag.bsky.social focus on Microbial Specialized Metabolism, exploring how microbes 🦠 and their enzymes help degrade pollutants. Her research is crucial for cleaning up contaminants & improving food system sustainability.
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Sammy Pontrelli @sammy-pontrelli.bsky.social · 13/03/2025
We are searching for a postdoc in Marine Phytoplankton Metabolism and Carbon Storage! You'll get the chance to work in Belgium to combine high-throughput metabolomics and enzymes to study how microbes naturally sequester atmospheric carbon in organic marine molecules! t.co/orCCyZhzeh
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Dario Taraborelli @dartar.bsky.social · 11/03/2025
We did a thing
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Nature Metabolism @natmetabolism.nature.com · 07/03/2025
bit.ly
Discovery of metabolites prevails amid in-source fragmentation
Nature Metabolism, Published online: 28 February 2025; doi:10.1038/s42255-025-01239-4Discovery of metabolites prevails amid in-source fragmentation
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Mingxun Wang @mingxunwang.bsky.social · 05/03/2025
I am excited to share this new paper out in JPR - "MS-RT: A Method for Evaluating MS/MS Clustering Performance for Metabolomics Data." This work introduces the MS-RT method to assess MS/MS clustering accuracy on metabolomics data. doi.org/10.1021/acs....
doi.org
MS-RT: A Method for Evaluating MS/MS Clustering Performance for Metabolomics Data
The clustering of tandem mass spectra (MS/MS) is a crucial computational step to deduplicate repeated acquisitions in data-dependent experiments. This technique is essential in untargeted metabolomics, particularly with high-throughput mass spectrometers capable of generating hundreds of MS/MS spectra per second. Despite advancements in MS/MS clustering algorithms in proteomics, their performance in metabolomics has not been extensively evaluated due to the lack of database search tools with false discovery rate control for molecule identification. To bridge this gap, this study introduces the MS1-retention time (MS-RT) method to assess MS/MS clustering performance in metabolomics data sets. Here, we validate MS-RT by comparing MS-RT to established proteomics clustering evaluation approaches that utilize database search identifications. Additionally, we evaluate the performance of several MS/MS clustering tools on metabolomics data sets, highlighting their advantages and drawbacks. This MS-RT method and the MS/MS clustering tool benchmarking will provide valuable real world practical recommendations for tools and set the stage for future advancements in metabolomics MS/MS clustering.
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SIB Swiss Institute of Bioinformatics @sib.swiss · 04/03/2025
Fully open, FAIR and AI-ready biodiversity data by 2035 – this is the goal of a new roadmap already signed by natural history collections, journal publishers, global biodiversity networks & research infrastructures including SIB. See more 👇🏽 @rmwaterhouse.bsky.social @libroscope.bsky.social
sib.swiss
Liberating global biodiversity knowledge from scientific literature
SIB and other leading infrastructures and biodiversity information experts will make crucial knowledge on our planet’s species openly available in FAIR, machine-readable and AI-ready formats. The �...
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Yasin El Abiead @yelabiead.bsky.social · 03/03/2025
Excited to share our correspondence in @naturemetabolism.bsky.social, where we address claims that the “dark metabolome” is merely an in‐source fragmentation artifact. www.nature.com/articles/s42... #Metabolomics #TeamMassSpec
nature.com
Discovery of metabolites prevails amid in-source fragmentation - Nature Metabolism
Nature Metabolism - Discovery of metabolites prevails amid in-source fragmentation
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Janna Hastings 🏳️‍🌈 @jannahastings.bsky.social · 24/02/2025
Come work with us! 😎 For the fantastic SNF-ANR collaborative @metabolinkai.bsky.social project, we are looking for a computational PhD student based in Zurich. If you are excited by knowledge-based approaches to AI and metabolomics data, we want to hear from you. To apply jobs.uzh.ch/job-vacancie...
jobs.uzh.ch
UZH: PhD Position in AI for Metabolism
The Medical Knowledge and Decision Support Group at the University of Zurich is seeking an enthusiastic PhD candidate to join the MetaboLinkAI project, jointly funded by the Swiss National Science Fou...
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Denny Vrandečić @vrandecic.bsky.social · 21/02/2025
Wikifunctions has you covered to translate to and from Scream: * To Scream www.wikifunctions.org/view/en/Z22725 * From Scream: www.wikifunctions.org/view/en/Z22728
wikifunctions.org
to Scream Cipher - Wikifunctions
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