Katharina Schmid

[MDC-BIMSB @BIMSB_MDC]

Join us for the 17th Berlin Summer Meeting – AI’s Adventures in Genomics, 6-7 June 2024 to explore the latest advancements, challenges, and prospects in harnessing AI for biomedical research and applications! Registration: https://t.co/Jtxo0Zjrkf #mdcBerlin

[Maria Colomé Tatché colomemaria.bsky.social @colomemaria_epi]

Our algorithm epiAneufinder for calling copy number variations in single-cells from scATACseq is out! https://t.co/OIQy53I1ta Now you can add CNV information to any scATAC-seq or multiome dataset without the need of another data modality or reference diploid sample. Try it out!

[Giuseppe Testa @gtesta72]

#NewPreprint alert 📢
Thrilled to share our work on multiplexing cortical brain organoids for the longitudinal dissection of developmental traits at single cell resolution
https://t.co/x47Uh4qUaT
paving the way towards in vitro epidemiology.
Eager to know more? 👉🧵
1/

[Matthias Heinig @heinig_matthias]

1/7 How do genetic variants affect co-expression patterns and how can this help us to interpret consequences of GWAS hits? In our latest preprint, we use scRNAseq to find such associations by mapping co-expression QTLs (co-eQTL)! https://t.co/VK7msVwn4V

[Lude Franke @LudeFranke]

Genetic variation can affect co-expression relationships, as we see in a meta-analysis of single-cell eQTL data, now out: https://t.co/NPDV5DUmKE. We observe colocalisation between a rheumatoid arthritis locus and effects on co-expression of T cell activation genes with RPS26.

[Katharina Schmid @schmidkathe]

Congratulations Dr. @Shuangli1330 ! It was a big honor to stand next to you at this special moment.

[UMCG Genetica @UMCGgenetica]

A hearty congratulations to our newest PhD, Dr. Shuang Li!

[Katharina Schmid @schmidkathe]

Happy that our preprint about co-expression QTL identification in scRNA-seq cohorts is out. Had a lot of fun in this collaboration and very proud about the figures (credit for them goes to @Shuangli1330)

[ShuangLi @Shuangli1330]

1/7 How do genetic variants affect co-expression patterns and how can this help us to interpret consequences of GWAS hits? In our latest preprint, we use scRNAseq to find such associations by mapping co-expression QTLs (co-eQTL)! https://t.co/UvpSyxLmAO

[Matthias Heinig @heinig_matthias]

Interested in how atrial fibrillation associated genetic variation impacts transcript and protein levels in the human heart? We link genetic variation to disease through gene networks. Great colab @CompHealthMuc @UCCS_HH https://t.co/bmomEZxasX

[Matthias Heinig @heinig_matthias]

Wondering what you can learn from integrating DNA methylation and genetics? @johannhawe and @schmidkathe (@ICBMunich) et al did a great job in identifying GRNs for GWAS loci and finding cell type specific meQTL. Great collaboration, very happy that this is out now!

[Katharina Schmid @schmidkathe]

Very excited about my first publication. If you are looking for a fast and user-friendly tool to design your next multi-sample scRNA-seq experiment, try scPower!

[Computational Health Center @CompHealthMuc]

scPower, our analytic framework for design and power analysis of multi-sample scRNA-seq experiments, is out @NatureComms . Code and GUI https://t.co/RWghIFqEXx. Great work by @schmidkathe @heinig_matthias @fabian_theis @LickertHeiko @Binder_Lab https://t.co/XEltTan1RQ

[johann hawe @johannhawe]

Woohoo!Our preprint on #network inference for multi-omics data using data-driven priors is out on @biorxivpreprint @biorxiv_bioinfo Check it out here:https://t.co/tPdfJSzZDD Big Thanks! to all involved! @ashissaha123 @alexisjbattle @heinig_matthias @fabian_theis @MartinaNurasyid

[Matthias Heinig @heinig_matthias]

Check out our new integrative multiOMICs approach with genomics, transcriptomics, and proteomics of human atrial tissue. regulatory genetic variants and their downstream consequences on transcriptome, proteome and atrial fibrillation: https://t.co/yMyHfqm5qo

[Katharina Schmid @schmidkathe]

Our preprint on experimental design & power analysis for multi-sample #SingleCell analysis is out https://t.co/QgRLZkHozP! Apply our R package https://t.co/zUW1OFVd0Y or use our website https://t.co/D2MdijWR6R @heinig_matthias @fabian_theis @Binder_Lab @LickertHeiko @ICBmunich