Dear microbiome research enthusiasts and bioinformatics aficionados,
curious about smoother microbiome research? Grab your coffee and join us online!
Reproducible, easily shareable workflows are essential for bioinformatics. This holds true for all areas of bioinformatics research, including microbiome research. To facilitate the centralized collection of high-quality Nextflow workflows, nf-core was established
with strong involvement from the Quantitative Biology Center (QBiC) core facility. These workflows are used, extended, and improved by a large community in a standardized manner, making a wide range of bioinformatics analyses more accessible and easier to
execute than ever before. This presentation will introduce QBiC, discuss some challenges faced, and present examples of solutions, with a focus on data analysis.
📢 NFDI4Microbiota Coffee Talk: Meta-omics Analysis at a Bioinformatics Core Facility – As FAIR as Possible
presented by Daniel Straub (QBiC TĂĽbingen)
đź“… Date: Monday, 27th October2025
đź•’ Time: 14:30-15:30 CET (Berlin time)
https://rwth.zoom-x.de/j/69637480434?pwd=aq6VlWq8JB8w3W4OJ3P3pI7aQcRahP.1
đź“Ť
Zoom Meeting ID: 696 3748 0434
đź”’
Passcode: 760425
>>> Feel free to share this with your peers!
PS: Struggling with nextflow and nf-core? Daniel will be offering a weekly drop-in session and offer consultation on a first come - first serve basis.
______________________________________________________________
______________________________________________________________
📢 A new mailinglist: Offering Life Science training events beyond the microbiome universe
The Life Science associated NFDIs have joined efforts in gathering and promoting relevant Life Science training events for you.
đź“Ť
If mailinglists are how you stay updated, then don't forget to subscribe!
Join via mail to:
or subscribe with your existing Postorius-Account via:
A teaser on what you can look forward to:
-
NFDI4Earth Academy Coffee lecture - "Machine Learning Fundamentals with Application Examples" (Sonja Hänzelmann & Susana Simancas Giraldo, AWI)
Content: Introduction to Machine Learning, Supervised vs. Unsupervised Learning – key concepts and use cases, Unsupervised Learning – Finding patterns in data (Clustering, Dimensionality Reduction) and Supervised
Learning – Prediction models (Classification, Regression). Level: Beginner-friendly, perfect for anyone looking to better understand and apply ML methods.
-
Looking forward to Monday!
Kind regards
Maja (Magel)
on behalf of NFDI4Microbiota's Outreach team
Carmen (Paulmann), Lina (Junctorius), Mattea (MĂĽller), Maja (Magel)
Maja Magel
https://nfdi4microbiota.de/
Projektkoordination NFDI4Microbiota
Institut fĂĽr Medizinische Mikrobiologie
Research Group Functional Microbiome
________________________________________
Tel.: +49 (0) 241 80-38117
E-Mail: mmagel@ukaachen.de
Aufzug D4, Etage 5, Raum 34
Universitätsklinikum Aachen
PauwelsstraĂźe 30
52074 Aachen