[27th October] NFDI4Microbiota Coffee Talk: Meta-omics Analysis at a Bioinformatics Core Facility – As FAIR as Possible
5:52 p.m.
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 Tübingen)
📅 Date: Monday, 27th October2025
🕒 Time: 14:30-15:30 CET (Berlin time)
https://rwth.zoom-x.de/j/69637480434?pwd=aq6VlWq8JB8w3W4OJ3P3pI7aQcRahP.1
📍 Zoom Meeting ID: 696 3748 0434
🔒 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.
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📢 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.
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Mailing-List:
training4lifescience@lists.nfdi.de<mailto:training4lifescience@lists.nfdi.de>
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A teaser on what you can look forward to:
1.
NFDI4Earth Academy Coffee lecture - "Machine Learning Fundamentals with Application
Examples" (Sonja Hänzelmann & Susana Simancas Giraldo, AWI)
📅October 15th, register
here<https://gfz-de.zoom.us/meeting/register/Lu8vWZhtQA2MBPLS8Wxwtg#/registration>.
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.
1.
in German: GFBio Data Submission und Brokerage
Service<https://submissions.gfbio.org/> für biologische, ökologische und
Biodiversitätsdaten (Dr. Ivaylo Kostadinov, Gesellschaft für Biologische Daten (GFBio
e.V.)
📅October 21st, 11:00 -12:00, register
here<https://www.nfdi4biodiversity.org/de/events/biodiversitea-17/>;.
Looking forward to Monday!
Kind regards
Maja (Magel)
on behalf of NFDI4Microbiota's Outreach team
Carmen (Paulmann), Lina (Junctorius), Mattea (Müller), Maja (Magel)
https://nfdi4microbiota.de/
Maja Magel
https://nfdi4microbiota.de/
Projektkoordination NFDI4Microbiota
Institut für Medizinische Mikrobiologie
Research Group Functional Microbiome
[cid:image001.png@01D7E834.38ACC870]
________________________________________
Tel.: +49 (0) 241 80-38117
E-Mail: mmagel@ukaachen.de<mailto:mmagel@ukaachen.de>
Aufzug D4, Etage 5, Raum 34
Universitätsklinikum Aachen
Pauwelsstraße 30
52074 Aachen
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Magel, Maja