Missed the webinar? The recording is now live! ๐ฅ
Watch our deep dive into MAPtoGO to learn how to bridge the gap between lipidomics and functional biology. ๐งฌ๐
Watch it here: https://www.youtube.com/watch?v=2Jk60rpZFsA

Missed the webinar? The recording is now live! ๐ฅ
Watch our deep dive into MAPtoGO to learn how to bridge the gap between lipidomics and functional biology. ๐งฌ๐
Watch it here: https://www.youtube.com/watch?v=2Jk60rpZFsA

๐ฌ LIFS Lipidomics Workshop 2026 ๐ฌ
Ready to elevate your lipidomics data analysis? Join us for this comprehensive, hands-on training course hosted in-person at the 11th Lipidomics Forum in Borstel!
๐
Date: Monday, September 7th, 2026
โฐ Time: 10:00 โ 16:30 CEST
๐ Location: On-site (Borstel, DE)
๐ถ Fee: 20 โฌ
๐ก What You Will Learn
- Shotgun Lipidomics
- Targeted LC-MS
- FAIR Data & Analytics
๐ Registration:
https://www.denbi.de/training-courses-2026/2092-lifs-training-workshop-lipidomics-forum-2026
#Lipidomics #MassSpectrometry #Bioinformatics #FAIRdata #LCMS
Service of the week:
Looking for a trusted home for your plant research data? ๐ฟ
e!DAL-PGP offers free, long-term, FAIR-compliant storage for multi-omics and phenotyping datasets.
๐ Free for academic use.
๐ Hosted by @leibnizipk
โก๏ธ https://edal.ipk-gatersleben.de/
#PlantResearch #Phenotyping #Bioinformatics #eDAL #RDM #DataManagement
๐ฅ New Video: Cloud-based Bioimage Analysis at EMBL
How do we handle the massive data volumes in modern microscopy? Yi Sun (Research Software Engineer at EMBL) breaks down the cloud-native workflows used by the Bioimage Analysis Support Team.
๐บ Watch the full webinar: https://www.youtube.com/watch?v=ntwdwCi4Y6k
A great joint effort by @deNBI and @ghga
#Bioinformatics #BioimageAnalysis #EMBL #CloudComputing #OpenScience #Imaging #deNBI #GHGA

๐ฎ๐น Greetings from Rome!
Last week, the HUPO-PSI Spring Meeting at the CNR brought together the global community to advance open data standards for #proteomics and #metabolomics. ๐งฌ
@deNBI was thrilled to be part of the discussions! We organized a successful workshop Metabolomics & MS Data Standards fostering collaboration across the field. ๐ค
Standardization is key to reproducible science! ๐
#HUPOPSI #OpenData #Bioinformatics #deNBI #Metabolomics #MassSpec #FAIRdata #ScienceEvents
๐ฑ #ECCB2026 is committed to hosting a responsible and forwardโlooking conference in Geneva.
Sustainability is integrated into the planning and delivery of the conference, guided by SIB's EcoImpact Groupโs sustainability guidance.
Our approach includes walkable venues, public transport, reduced print, reduced plastic and vegetarian catering, supporting lower environmental impact while creating longโterm value for our community and host city #Geneva.
๐Learn more: https://eccb2026.org/sustainability-and-environmental-impact
๐ Registration is OPEN for the de.NBI Summer School 2026 - Bioinformatics for Proteomics."! ๐งฌ
๐ Fully Supported:
We are happy to share that there are no fees for the event. To fully support the stay of the selected candidates, we will provide accommodation and local travel tickets within Bochum. Furthermore, meals and social events are included in the program.
๐
7-11 September
๐ Bochum, Germany
๐ Apply here: https://www.denbi.de/training-courses-2026/2075-de-nbi-summer-school-2026-bioinformatics-for-proteomics
๐งฌ Join us in Heidelberg to master the art of building biomedical knowledge graphs! ๐งช๐ป
๐
15-19 June 2026
๐ Im Neuenheimer Feld 205, Heidelberg
What youโll learn:
- Create KGs from your own data using BioCypher.
- Scale complex projects with Generative AI and agentic automation.
Don't miss out on this deep dive into ontologies, data harmonization, and machine-readable knowledge! ๐
#Bioinformatics #KnowledgeGraph #OpenScience #GenerativeAI #Python #MultiOmics
๐ฌ New in Nature Medicine: Obesity Risk Prediction at Scale ๐งฌ
We are thrilled to see the de.NBI Cloud acknowledged in a major new study published in @naturemedicine Researchers analyzed data from ~200,000 individuals to improve obesity risk prediction.
๐ฅ๏ธ The Infrastructure:
The authors utilized the de.NBI Cloud to develop the webserver infrastructure necessary to handle this massive dataset and make the findings accessible to the research community.
๐ Read the paper: https://www.nature.com/articles/s41591-026-04353-2

OBSCORE is a machine learning-based risk prediction tool that uses a set of clinical features to stratify individuals with a body mass index (BMI) ofโโฅโ27โkgโmโ2 by their 10-year risk of obesity-related complications, outperforming existing models. OBSCORE is generalizable across diverse populations, supporting risk-based prioritization of obesity interventions that goes beyond simple BMI thresholds.
๐ฃ Enter the Galaxy: How to leverage the open source platform Galaxy for the Digital Humanities and Social Sciences
None
๐ Online
๐
8 May 2026
๐ More info & registration: https://galaxyproject.org/events/2026-05-08-dhxpresso/
@galaxyproject
#UseGalaxy #GalaxyProject #EOSC #EuroScienceGateway #UniFreiburg