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My article has been recommended on @F1000Prime f1000.com/prime/73673630…

Our latest on using population genetic models to interpret sequence conservation across species. (w/ Christian D. Huber & Bernard Kim) biorxiv.org/content/10.110… (1/3)

#SMBE2020 Check out our symposium on the Evolution of regulatory networks. Please submit an abstract if you work in this direction!!! smbe2020.org/programme/symp…

#NCOMTop50

check out how the protein TRNP1 and its regulation co-evolve with brain folding in mammals bioRxiv viewer disq.us/t/3upqada

Mouse lineage tracing and Single cell analysis show that Sox2+ myeloid-like cells promote blood vessel growth in glioblastomas authors.elsevier.com/sd/article/S24…

Our co-authors asked us to help to advertise for this article. I was considering to give the #RNASeqBlog a try. However, it seems to be down? The last message I got was from friday 2/12. Anybody knows what's going on?

Based on these data, we established detailed cellular atlases across the development of the three species. The data can be interactively explored in a dedicated online resource: apps.kaessmannlab.org/sc-cerebellum-…

The second study, led by Konstantin Okonechnikov and Piyush Joshi, leverages our human cerebellar single-cell atlas, 2,923 bulk transcriptomes from pediatric solid tumors, and 100 published single-cell transcriptome datasets from medulloblastoma, ependymoma, and pilocytic astrocytoma.

Prime-seq – the most efficient method for RNA-seq currently available rna-seqblog.com/prime-seq-the-… via @RNA-Seq Blog

After 2 years of zoom conferences, it was great to chat about science in person again at #SCGmeetsML. Thanks for all the feedback and a fantastic event overall!

Nothing makes sense in medicine except in the light of evolution. So well deserved as a scientist and person! Congratulations from us all 👏

Have you ever wondered whether your single cell transcriptome represents really only one tiny cell? Here, we get genotype based estimates of background RNA allowing us to estimate its effect on analysis and to benchmark background removal methods. biorxiv.org/content/10.110… #SCOG

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