Joined January 2019
16 Photos and videos
16 Oct 2024
We are excited to share 𝘀𝗰𝗔𝗧𝗔𝗰𝗮𝘁, a great new tool for annotating #scATACseq data! Check out the thread for more details ⬇️
I am happy to share that my PhD work, 𝘀𝗰𝗔𝗧𝗔𝗰𝗮𝘁🐈, is now out in #nargab @VingronLab academic.oup.com/nargab/arti… #scATAcat #epigenomics #singlecell Here is a 🧵👇
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13 Jun 2024
Excited to share our new paper “CAbiNet: joint clustering and visualization of cells and genes for single-cell transcriptomics” and accompanying R package by @young_Yanie_Z and @ClemensKohl which was just published in @NAR_Open ! academic.oup.com/nar/advance…
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13 Jun 2024
Identifying cell populations by the expression of their marker genes often requires manual analysis. The biMAP instead embeds cells & genes in a single plot, which not only simplifies cell type annotation but also lets you interactively explore the marker genes of the clusters!
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24 Jul 2023
Our collaboration paper with @fubcp and @MundlosLab is out! Congrats to all the authors 🥳 Learn more 👇🏼
I'm very happy to share that our collaborative study between @fubcp and @StefanMundlos & @vingron is finally published online @iScience_CP. cell.com/iscience/fulltext/S… We show the mechano-dependency of BMP9 SMAD-signaling in the vasculature. #BMP #ATACseq #genomics #vasculature
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11 Jul 2023
Association plots paper is out! Congrats to @ela_gralinska 🥳 Read the 🧵to learn more 🤓
**Association Plots** and cluster-specific genes in high-dimensional data (1/7) Very happy to share that our manuscript on Association Plots from @VingronLab (@MPI_MolGen) , summarizing the basic concepts of my PhD project, is finally out. Below the key points from our paper:
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26 Apr 2023
Join us for today’s Institute Social Hour - Easter edition! Egg themed games, chocolates and homemade pizza is waiting for you! @MPI_MolGen
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26 Apr 2023
And karaoke 🎤 🎶
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24 Mar 2023
Our new study “Prediction of protein-protein interactions using sequences of intrinsically disordered regions” published in Proteins journal, reveals that intrinsically disordered regions can aid in predicting specific features of eukaryotic PPI network! Check out our paper!
(1/4) I am happy to share that my PhD work on predicting protein-protein interactions using intrinsically disordered regions is now published in Proteins : Structure, Function, and Bioinformatics ! @VingronLab onlinelibrary.wiley.com/doi/… #PPIs #IntrinsicallyDisorderedRegions #IDPs
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📢 #JobAlert: Wir haben eine Postdoc Stelle in Bioinformatik an der Freien Universität zu besetzen! @FU_Berlin @MPI_MolGen 📅 Bewerben bis 20.03.2023! Bitte verbreiten Sie die Nachricht: fu-berlin.de/universitaet/be…

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VingronLab retweeted
CAbiNet: Joint visualization of cells and genes based on a gene-cell graph biorxiv.org/cgi/content/shor… #bioRxiv

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12 Dec 2022
We Put Up Our Christmas Tree 🎄 🎅 🤶 Thanks to all Vingron lab members for their collaborative efforts! Come and visit the Pikachu on top of tree 🎊 @MPI_MolGen
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19 May 2022
Our new #bioconductor R package 'APL' by @ela_gralinska, @ClemensKohl, and Martin Vingron @VingronLab is out! 'APL' implements the concept of Association Plots for #SingleCell data. bioconductor.org/packages/re…

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(1/8) Interested in the identification of #markergenes from single-cell data? Now it’s possible using our “Association Plots” adapted to SC data! sciencedirect.com/science/ar… @JmolBiol by @ela_gralinska, @ClemensKohl, Bita Sokhandan Fadakar, and Martin Vingron #scRNA #Rpackage
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(7/8) Finally, we also present how to visualize genes detected using other tools for differential expression in the Association Plots.
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(8/8) Interested? Check out our paper and the #bioconductor R package implementing this concept! Paper: sciencedirect.com/science/ar… R package: bioconductor.org/packages/re… Questions? @ela_gralinska

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