Sebastian Schönherr's Avatar

Sebastian Schönherr

@sebschoenherr

computational genomics prof at med uni innsbruck. co-created the michigan imputation server. co-created two kids ❤️. interested in AI, genomics, chronic diseases, nextflow, complex gene regions https://genepi.i-med.ac.at/team/schoenherr-sebastian

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17.11.2024
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Latest posts by Sebastian Schönherr @sebschoenherr

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This is what I need today.

24.06.2025 05:34 👍 2 🔁 0 💬 0 📌 0
Michigan Imputation Server 2

Last November, we migrated the Michigan Imputation Server (imputationserver.sph.umich.edu) to a new software stack, including Nextflow. After some turbulence, we are more and more returning to normal operations, processing around 800.000 full human genomes per month.

14.03.2025 07:04 👍 3 🔁 0 💬 0 📌 0
Faculty of AI and Scientific Computing in Medicine (AISCM) Medical University of Innsbruck Faculty of AI and Scientific Computing in Medicine

Today @michaelmoor.bsky.social took a train from Zurich to Innsbruck to kick-off our new Faculty of "AI and Scientific Computing"! 🎉 He talked about LLMs and Medical AI Agents. Exciting science and great discussions! Thanks! More info about our faculty: aiscm.i-med.ac.at #ai #scientificcomputing

06.03.2025 16:18 👍 2 🔁 1 💬 0 📌 0

Silvia is excited, we are so excited. Follow Silvia for great science and great fun.

www.youtube.com/watch?v=8iwB...

29.01.2025 21:17 👍 3 🔁 0 💬 0 📌 0
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🚀 Ready to kick off our Nextflow in Genomics workshop tomorrow at @i-med.ac.at!
🎉 Together with @lukfor.bsky.social & @silvidm.bsky.social we'll work on improving imputation server workflows.

Big thanks to @nextflow.io, @evanfloden.bsky.social, and @ewels.bsky.social for the support.

29.01.2025 10:18 👍 6 🔁 0 💬 0 📌 1
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If you didn't hear back from me today, it's because I had to solve a 4th grade math test first.

21.01.2025 13:36 👍 2 🔁 0 💬 0 📌 0

Almost forgot: Shout out to @nextflow.io for sending us stickers to get a bit of conference vibe here in innsbruck 🎉

16.01.2025 18:50 👍 1 🔁 0 💬 0 📌 0
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Nextflow In Genomics 2025 - Genepi Innsbruck Institute of Genetic Epidemiology, Medical University of Innsbruck

Details about the workshop can be found here: genepi.i-med.ac.at/workshops/ne... Please feel free to reply directly to this thread for feature requests or via Github: github.com/genepi/imput...
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16.01.2025 18:17 👍 3 🔁 0 💬 0 📌 0
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Nextflow In Genomics 2025 - Genepi Innsbruck Institute of Genetic Epidemiology, Medical University of Innsbruck


Are you working with one of the genotype imputation servers? Then this is your chance to see new features pretty soon on the server: @lukfor.bsky.social ky.social, @silvidm.bsky.social, and I are hosting our 2nd Nextflow in Genomics Hackathon to boost imputation servers here @i-med.ac.at
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16.01.2025 18:17 👍 10 🔁 4 💬 2 📌 1
mtDNA-Server 2 - Mitoverse

Publishing software is often easier than maintaining it - but we’re committed to keeping ours up to date! 🛠️ We've enhanced the documentation for our mtDNA variant calling pipeline, with detailed guides for both graphical and command-line use with Nextflow:
mitoverse.readthedocs.io/mtdna-server...

28.12.2024 16:59 👍 6 🔁 4 💬 1 📌 0
mitoverse

Btw, you can now set the mean minimum coverage when submitting a job, making it easier to work with low-coverage data. Let us know which features you’d like to see next. For graphical job execution click here: mitoverse.i-med.ac.at

28.12.2024 16:59 👍 0 🔁 0 💬 0 📌 0
mtDNA-Server 2 - Mitoverse

Publishing software is often easier than maintaining it - but we’re committed to keeping ours up to date! 🛠️ We've enhanced the documentation for our mtDNA variant calling pipeline, with detailed guides for both graphical and command-line use with Nextflow:
mitoverse.readthedocs.io/mtdna-server...

28.12.2024 16:59 👍 6 🔁 4 💬 1 📌 0
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endless slopes

27.12.2024 10:05 👍 4 🔁 0 💬 0 📌 0
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And I almost forgot the most frightening moment in this journey: shutting down the old server after 9 years. #byebyehadoop

19.12.2024 15:17 👍 2 🔁 0 💬 0 📌 0

Our framework AND pipeline are now used by all the major imputation servers - Michigan, Topmed, Munich - which makes us quite proud. It’s also great to see @stephenturner.us covering us in his recent blog: tinyurl.com/5tp9tz7e.
We would love to hear from more imputation servers around the world. 🌏

19.12.2024 15:14 👍 4 🔁 0 💬 2 📌 0

This summer, @lukfor.bsky.social and I migrated the Michigan Imputation Server to Nextflow. 2M genomes later, we can say it was a big success.

As a Christmas gift, we’re excited to show you how to set up your own local server in under 10 minutes.

##freeimputation

genepi.github.io/michigan-imp...

19.12.2024 15:14 👍 11 🔁 5 💬 2 📌 1
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Last week was fun! We had the pleasure of welcoming a MINT high school to our institute to talk about A.I 🤖. We also dived into Genetics (by @stncsn.bsky.social), Medicine, and discussed their project on AI-powered shark detection. 🧬🩺🦈 #STEM #MINT #Education #AI #Genetics @meduniibk.bsky.social

16.12.2024 11:35 👍 4 🔁 0 💬 0 📌 0

Today @silvidm.bsky.social delivered an impressive talk on her latest research on repetitive regions in the human genome - could they hold the key to the missing heritability? Huge thanks to the Biocenter @meduniibk.bsky.social for hosting this. #ukb #nextflow #lpa #vntrs

13.12.2024 15:05 👍 5 🔁 2 💬 0 📌 0

We believe this work will help others analyze VNTRs from short-read sequencing data and understand their impact on numerous human phenotypes, potentially explaining parts of the missing heritability. end.

05.12.2024 13:55 👍 0 🔁 0 💬 0 📌 0

For the first time, we were able to analyze the LPA VNTR in >199,000 samples from the UKB. This approach successfully revealed new, strong Lp(a)-lowering effects for KIV-2 variants, with a protective effect against coronary artery disease, and also validated previous findings. 5/n

05.12.2024 13:55 👍 0 🔁 0 💬 1 📌 0

And yes, we can! We developed a computational approach to resolve intra-repeat variation in the KIV-2 VNTR region using widely available short-read sequencing data, and we also applied it to 5 other medically relevant VNTRs 4/n

05.12.2024 13:55 👍 0 🔁 0 💬 1 📌 0

We specifically focused on the "dark" region of the cardiovascular disease gene LPA – the so-called KIV-2 VNTR. We wanted to determine if we could decipher this region using short-read sequencing data 3/n

05.12.2024 13:55 👍 0 🔁 0 💬 1 📌 0
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Resolving intra-repeat variation in medically relevant VNTRs from short-read sequencing data using the cardiovascular risk gene LPA as a model - Genome Biology Background Variable number tandem repeats (VNTRs) are highly polymorphic DNA regions harboring many potentially disease-causing variants. However, VNTRs often appear unresolved (“dark”) in variation d...

In July this year, we (Silvia Di Maio, Peter Zöscher and @stncsn.bsky.social et al.) published a Genome Biology paper to decipher repeats in the human genome, so called VNTRs genomebiology.biomedcentral.com/articles/10.... 2/n

05.12.2024 13:55 👍 1 🔁 0 💬 1 📌 0
(c) Medical University of Innsbruck, Cristof Simon

(c) Medical University of Innsbruck, Cristof Simon

A typical shot from my life as a researcher at @meduniibk.bsky.social. Standing in the HPC center with Silvia Di Maio and looking at dark genome regions

What's the story behind? 1/n

05.12.2024 13:55 👍 8 🔁 1 💬 1 📌 1

🌍 The imputation servers running on our software stack:

🛰️ Our Main Instance: imputationserver.sph.umich.edu
🛰️ TOPMed: imputation.biodatacatalyst.nhlbi.nih.gov
🛰️ MUC: imputationserver.helmholtz-munich.de

💡 Are there other imputation servers flying around?

25.11.2024 20:21 👍 1 🔁 1 💬 0 📌 0
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Cloudgene 3: Transforming Nextflow Pipelines into Powerful Web Services Nextflow has emerged as a flexible and scalable workflow system for building computational pipelines in life sciences. Simultaneously, Software-as-a-Service platforms enable researchers to concentrate...

Check out @lukfor.bsky.social and my latest work to run Nextflow graphically. Cloudgene3 powers major genotype imputation servers (Michigan, TOPMed, Helmholtz Munich—you name it).

It’s like a referee in football—when no one is complaining, you know it’s doing an excellent job! ⚽ 🧬
shorturl.at/pdeGk

22.11.2024 14:48 👍 2 🔁 1 💬 0 📌 0