Nikita Vaulin

Bioinformatician, Hi-C & scRNA-seq, python teacher @ MedUni Wien
Researching cell fates in Adameyko lab and Polycomb in Khrameeva lab

[Jun Cheng @s6juncheng]

Excited to share #AlphaGenome, a start of our AlphaGenome named journey to decipher the regulatory genome! The model matches or exceeds top-performing external models on 24 out of 26 variant evaluations, across a wide range of biological modalities.1/6

[Nikita Vaulin @vaulin2]

@maria_spies @PietroPichierri Congrats!🎉🎉

[The Lewis Lab @PeterLewisLab]

Happy Polycomb Day (3/27)! Today we celebrate H3K27me3- Polycomb’s quiet mark of repression, where gene silencing is not neglect, but a deliberate act of identity.

[PolinaKameneva @PKameneva]

Computational PhD Opportunity! Funded by
@FWF_at
Come and work with us to discover the early pediatric tumor initiation events with innovative iPSC models and single-cell omics! At
@StAnna_CCRI!
https://t.co/xRLVVFco0F

[Nikita Vaulin @vaulin2]

Today, he made a force push for massive changes to the lab's website. Don't fall, don't fall, don't fall...

[Nikita Vaulin @vaulin2]

@LGentzbittel Thank you, Prof. Gentzbittel! I'm really happy that the A ∩ B > 0 (where A is your 4 years in Sk and B is mine 2 years in Sk).

[Nikita Vaulin @vaulin2]

@leocastorina @ktv_xn, your turn

[Nikita Vaulin @vaulin2]

@shitov_happens @stethospeaks I have the same issue, but with SCENIC and french auto industry

[Nikita Vaulin @vaulin2]

@Sanbomics As you say union looks better, but has higher std because some particular methods are not good on some particular data - maybe it worth trying something in between to integrate predictions. For instance, a majority vote.

[Igor Adameyko @adameykolab]

(1) How can we build complex structures from a limited set of progenitors and cell types? In our new preprint, we describe patterns of cell fate decisions during early development and (in some cases) identify molecular correlates of different behaviors. https://t.co/G7RmnubkSe

[Nikita Vaulin @vaulin2]

@sokrypton @chrisfrank662 @DominikSchiwie0 @hendrik_dietz Hilarious! The noble gift for a colleague is a necklace with a small glass flask and inside is a set of proteins with his/her name

[Dmitrii Kriukov @shappiron]

I debuted on Medium with my heartfelt cry regarding the aging clocks. The article briefly outlines the main result of our recent article, interspersed with my personal concerns and feelings for the field of aging biology.

Enjoy reading!

https://t.co/QrvYWs2QRr

[Nikita Vaulin @vaulin2]

@flanditto @hendersi Yeah, it should be some regulatory play. However, Met is not the only one start codon. There are some "non-canonical" starts (which is interesting itself btw)

[Nikita Vaulin @vaulin2]

@lampimampi Добавлю в копилку список незаменимых аминокислот: ЛИЗа МЕТнула ФЕН в ТРИбуну, ТРЕзвый ЛЕЙтенант ВАЛялся в ИЗОляторе с АРГентинским ГИтаристом
Правило прекрасно тем что оно идет не по первой букве, а по первым трем - ровно так как все и обозначают аминокислоты

[Nikita Vaulin @vaulin2]

@J_my_sci Oh, sorry, the one that was below in the thread. Yeah, that's hard to do, i see

[Nikita Vaulin @vaulin2]

@J_my_sci Nice work! In the paper you show the homogeneity of i3Neurons, but have you tried to compare proteomes of your iPSC-derived neurons and human neurons?

[Nikita Vaulin @vaulin2]

@RobKlose @AleksSzczurek @emmy_dimitrova @Jess_R_Kelley @blackledge_neil Wow, that's great work! Now I wonder if somehow these enzymatic dynamics change during cell differentiation with different PRC1 assemblies.

[Nikita Vaulin @vaulin2]

@FabPrewett @JoachimSchork Here is an example for bell-shaped distributions, which I am sure can confuse anyone. But with the QQ-plot the deviation from normality is clearly visible. Moreover, you can make a QQ-plot for any distribution, not only normal.

[Nikita Vaulin @vaulin2]

@pedrotomazsilva This is interesting! Looks similar to Hi-C maps. And your fig. 6A plot is called a "scaling plot" in 3D genomics, for example. Have you tried to compare/align your matricies with the Hi-C matricies of the same DNA regions from any public data?

[Nikita Vaulin @vaulin2]

@byu_sam Wow, insane! Interestingly, the first author in this sc-proteomics paper is an otolaryngology doctor (https://t.co/o1mplx6GKP). And all Sechenov-affiliated authors can be found in russian dissernet database (which collects works with purchased co-authorship, plagiarism etc)