VingronLab

regulatory sequence motifs,
epigenetic regulation,
sequence analysis,
single cell transcriptomics,
haplotyping,
3D chromatin structure,
biological networks

[VingronLab @VingronLab]

We are excited to share 𝘀𝗰𝗔𝗧𝗔𝗰𝗮𝘁, a great new tool for annotating #scATACseq data!
Check out the thread for more details ⬇️

[Aybuge Altay @aybuge_altay]

I am happy to share that my PhD work, 𝘀𝗰𝗔𝗧𝗔𝗰𝗮𝘁🐈, is now out in #nargab @VingronLab
https://t.co/xMTd9Yc372
#scATAcat #epigenomics #singlecell
Here is a 🧵👇

[VingronLab @VingronLab]

You can try out CAbiNet by simply installing it from our GitHub: https://t.co/OL06Vk4OrO

[VingronLab @VingronLab]

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 !
https://t.co/X9lOLxuKXD

[VingronLab @VingronLab]

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!

[VingronLab @VingronLab]

Our collaboration paper with @fubcp and @MundlosLab is out! Congrats to all the authors 🥳 Learn more 👇🏼

[Jerome Jatzlau @JeromeJatzlau]

I'm very happy to share that our collaborative study between @fubcp and @StefanMundlos & @vingron is finally published online @iScience_CP.
https://t.co/NjhgWYMq2T
We show the mechano-dependency of BMP9 SMAD-signaling in the vasculature.
#BMP #ATACseq #genomics #vasculature

[VingronLab @VingronLab]

Association plots paper is out! Congrats to @ela_gralinska 🥳 Read the 🧵to learn more 🤓

[Elzbieta Gralinska @ela_gralinska]

**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:

[VingronLab @VingronLab]

And karaoke 🎤 🎶

[VingronLab @VingronLab]

Join us for today’s Institute Social Hour - Easter edition! Egg themed games, chocolates and homemade pizza is waiting for you! @MPI_MolGen

[VingronLab @VingronLab]

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!

[Gözde Kibar @gozdekibar4]

(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
https://t.co/GA3gjphc1U
#PPIs #IntrinsicallyDisorderedRegions #IDPs

[VingronLab @VingronLab]

📢 #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:
https://t.co/uapOzqJZm1

[MPI for Molecular Genetics @MPI_MolGen]

How can anyone survive a shattered genome? Our @VingronLab @MundlosLab @MeloUira & R. Schöpflin found that the answer lies in the "dark matter" of our genome. https://t.co/xUZFFjFc87

[VingronLab @VingronLab]

Our new work 'CAbiNet: Joint visualization of cells and genes based on a gene-cell graph' by Yan Zhao @young_Yanie_Z, Clemens Kohl @ClemensKohl, Martin Vingron @VingronLab, et. al. has been released at bioRxiv ( https://t.co/LvGCJJqzdi ).Looking forward to your comments!

[bioRxiv @biorxivpreprint]

CAbiNet: Joint visualization of cells and genes based on a gene-cell graph https://t.co/blePmYBcxx #bioRxiv

[VingronLab @VingronLab]

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

[VingronLab @VingronLab]

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.

https://t.co/yKV0SuIk0r

[VingronLab @VingronLab]

(8/8)
Interested? Check out our paper and the #bioconductor R package implementing this concept!

Paper: https://t.co/4p6vTH4UES
R package: https://t.co/yKV0SuIk0r

Questions? @ela_gralinska

[VingronLab @VingronLab]

(1/8)
Interested in the identification of #markergenes from single-cell data? Now it’s possible using our “Association Plots” adapted to SC data!

https://t.co/4p6vTH4UES @JmolBiol

by @ela_gralinska, @ClemensKohl, Bita Sokhandan Fadakar, and Martin Vingron

#scRNA #Rpackage

[VingronLab @VingronLab]

(7/8)
Finally, we also present how to visualize genes detected using other tools for differential expression in the Association Plots.