π’ Keynote reveal:
Weβre excited to announce Prof. Dr. Oliver Stegle as a keynote speaker at HMC Conference 2026 β Metadata in Action!
π’ 3rd Keynote reveal!
Weβre excited to welcome Prof. Dr. Oliver Stegle as keynote speaker at #HMCConference2026
Director & Co-Spokesperson of #GHGA, @oliverstegle.bsky.social advances secure, #FAIR infrastructures for data-driven biomedical research. π§¬
steglelab.bsky.social ghga.bsky.social
10.02.2026 11:46 β
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Working on trans-eQTL mapping with population-scale scRNA-seq? Meet LIVI, our latest framework that enables efficient trans-eQTL mapping at single-cell resolution across cohorts of hundreds to thousands of donors.
Preprint: doi.org/10.64898/202...
Summary in the π§΅ below by @danaivagiaki.bsky.social
10.02.2026 08:59 β
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Alliance_project-outline Stegle Krijgsveld.pdf
Contact us by email if you meet the eligibility criteria and are interested in applying based on our project outline. Your email should include your project proposal, a CV and two reference letters. We look forward to hearing from you.
Project Outline Nr. 58: drive.google.com/file/d/1YZbs...
20.01.2026 09:43 β
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Important information:
- A minimum of one first-author publication is required
- Applicants must develop their own research proposal based on our project outline
- Provide your CV, two reference letters and your project proposal
- Expected start date: between August 1, 2026, and January 1, 2027
20.01.2026 09:43 β
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SCP enables the quantification of thousands of proteins per individual cell, thereby revealing cell states, regulatory mechanisms, and functional heterogeneity. Join us in developing a framework to analyze comprehensive SCP datasets (up to 6000 quantified proteins per cell!).
20.01.2026 09:43 β
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HEALTH + LIFE SCIENCE ALLIANCE | Interinstitutional Postdocs
Together with Jeroen Krijgsveld, we are looking for a postdoc to help us unlock single-cell proteomics (SCP) through the establishment of a scalable computational framework.
For more information, see the @hlsalliance.bsky.social Postdoc Program:
www.health-life-sciences.de/opportunitie...
20.01.2026 09:43 β
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We're organizing a one-day, in-person workshop on trustworthy healthcare AI, with leading experts discussing key dimensions such as robustness, fairness, privacy, explainability, and clinical validation.
Register now and submit your poster: elsa-ai.eu/elsa-worksho...
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March 9, Heidelberg DE
15.01.2026 10:09 β
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Many thanks to all authors: @dbdimitrov.bsky.social, Stefan Schrod, @mrohbeck.bsky.social, and @oliverstegle.bsky.social.
@embl.org | @dkfz.bsky.social | @uniheidelberg.bsky.social | @sangerinstitute.bsky.social
07.01.2026 09:52 β
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We further describe how these methods achieve the 3 key aims of causal modelling:
1οΈβ£ Understand perturbation responses
2οΈβ£ Extrapolate to unseen conditions
3οΈβ£ Guide future experiments
07.01.2026 09:52 β
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We map how these methods commonly utilise partial views of causal signatures (perturbations β‘, temporal β³, spatial π& multi-omics π§¬) and rely on a shared core modelling concepts (from Disentanglement to Mechanistic Discovery).
07.01.2026 09:52 β
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Interpretation, Extrapolation, and Perturbation of Single Cells β Interpretation, Extrapolation, and Perturbation of Single cells
Explore the tools covered in our review in an online repository: interp-extrap-perturb.readthedocs.io π»
This database is continuously growing, and we invite everyone to submit methods and help us keep the repository up-to-date.
07.01.2026 09:52 β
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We review and connect >150 methods to help you choose the most suitable method for a given biological task and dataset.
Our perspective further proposes a unifying ontology to structure and organise these methods across tasks, assumptions, and modelling concepts.
07.01.2026 09:52 β
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Interpretation, extrapolation and perturbation of single cells
Nature Reviews Genetics - Causal and mechanistic modelling strategies, which aim to infer causeβeffect relationships, provide insights into cellular responses to perturbations. The authors...
Fresh off the press in 2026! Interested in the challenge of how to advance from descriptive atlases to causal mechanisms and counterfactuals? π¬
Take a look at our recent perspective: "Interpretation, extrapolation and perturbation of single cells"! (rdcu.be/eXeDY)
07.01.2026 09:52 β
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scPT-seq directly links genotype, expression, lineage & space in vivo. A powerful framework for functional genomics beyond indirect CRISPR readouts. 9/10
27.12.2025 16:13 β
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CRISPR edits also act as heritable clonal markers.
We reconstruct lineages, transfer spatial information between cells, and uncover region-specific stem cell identities and perturbation responses. 8/10
27.12.2025 16:13 β
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scPT-seq also enables dosage-dependent analysis:
Different cell types respond differently to mono- vs biallelic mutations, revealing spatially organized compensatory mechanisms across the tissue. 7/10
27.12.2025 16:13 β
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Key insight:
Standard perturbed-vs-control comparisons are dominated by stress responses.
Using true internal WT cells, scPT-seq uncovers mutation-specific transcriptional programs that were previously hidden. 6/10
27.12.2025 16:13 β
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We applied scPT-seq to the Drosophila midgut, a regenerative tissue with strong spatial structure.
This lets us compare mutant and wild-type cells within the same tissue, separating genetic from environmental effects. 5/10
27.12.2025 16:13 β
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What do we gain?
1οΈβ£ Base-pair resolution of CRISPR edits
2οΈβ£ Detection of insertions, deletions and splice changes
3οΈβ£ Clear distinction between WT, mono- and biallelic edits
4οΈβ£ Identification of βmissingβ alleles (a major blind spot of past methods) 4/10
27.12.2025 16:13 β
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scPT-seq combines:
β’ droplet-based scRNA-seq
β’ targeted long-read sequencing of edited loci
β’ haplotype-resolved mutation calling
All from the same cells, in vivo. 3/10
27.12.2025 16:13 β
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The problem:
Guide capture β successful edit.
Computational inference β true genotype.
And in vivo, environmental effects easily mask real mutation-driven responses.
So how do we truly link genotype to phenotype at single-cell resolution? 2/10
27.12.2025 16:13 β
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How do CRISPR edits actually change cells in real tissues?
Most single-cell CRISPR screens infer edits indirectly.
We present scPT-seq, a method that directly detects CRISPR mutations and transcriptomes in the same single cells in vivo, from John Hawkins and Siamak Redhai from Boutros Lab. 1/10
27.12.2025 16:13 β
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Youβll help build interoperable, FAIR tools across @scverse.bsky.social and @bioconductor.bsky.social ecosystems. You will work together with a cross-institute team composed of @lucamarconato.bsky.social, @arturmansl.bsky.social and many contributors from #scverse and #Bioconductor!
27.12.2025 15:49 β
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Software Developer - Interoperability for Single-Cell and Spatial Omics Methods
We are looking for a Software Developer to work on R/Python interoperability for single-cell and spatial omics methods.
π Apply here: jobs.dkfz.de/en/jobs/1683...
27.12.2025 15:49 β
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Weβre excited to announce the "Toward Trustworthy AI Modeling for Computational Healthcare" @elsa-ai.eu workshop, a one-day in-person event focused on building private, fair, robust, reliable, and accountable AI systems for healthcare. Register now.
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March 9, 2026
π EMBL, Heidelberg, Germany
19.12.2025 13:42 β
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Meet Hendrik Mehrtens who recently joined our lab as a PhD student - shared with @mlolab.bsky.social π
Hendrikβs research focuses on reliable machine learning methods integrating large-scale EHR data with multimodal data like genomics data, with a focus on causality and uncertainty estimation.
05.12.2025 15:41 β
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Claudia Feng's Ph.D work is now out, co-led with @brittavelten.bsky.social and @steglelab.bsky.social . Large-scale CRISPRi perturbations in genetically heterogenous iPSC lines, with single cell readout - enjoy :)
03.12.2025 11:03 β
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@lucamarconato.bsky.social held a workshop during day 3 (@biohub.org) showing analysis and visualization strategies for large-scale 3D spatial omics datasets.
See you all at #scverse26!
25.11.2025 09:01 β
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