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Невозможно без слез и горечи, страха и злости смотреть обращение президента Украины! Как гражданин РФ, военнообязанный мужчина, аспирант СПбГУ, биолог, ученый и простой человек, считаю должным объявить, что я категорически против войны! Только безумец может быть "за"! #нетвойне
Maksim Nesterenko retweeted
Pytrf: a python package for finding tandem repeats from genomic sequences bmcbioinformatics.biomedcent…
Maksim Nesterenko retweeted
Looks like a very useful R package for the analysis of morphological evolution on phylogenies:
"We introduce MorphSim, an R package for simulating discrete morphological characters specifically designed for total- evidence and tip- dated phylogenetic analyses..."
This will make my life easier! Nice work!
"MorphSim: An R package for simulating discrete morphological data"
besjournals.onlinelibrary.wi…
Maksim Nesterenko retweeted
TranscriptFormer: A generative cell atlas across 1.5 billion years of evolution | Science science.org/doi/10.1126/scie…
Maksim Nesterenko retweeted
Deep sleep may be one of the brain’s most powerful anti-anxiety tools.
Researchers identified a sleep-active circuit linking the parafacial zone, parabrachial nucleus, and BNST that suppresses stress-related signaling during slow-wave sleep and prevents anxiety-like behavior. #SleepScience #Neuroscience #MentalHealth
sciencedirect.com/science/ar…
Maksim Nesterenko retweeted
scDIG: An R Shiny Application for Interactive Density-Based Gating of Single-Cell Proteomic and Transcriptomic Data biorxiv.org/content/10.64898…
Maksim Nesterenko retweeted
PRIME: Atlas-Level Single-Cell and Spatial Transcriptomics Data Integration biorxiv.org/content/10.64898…
Maksim Nesterenko retweeted
Echo characterizes the desynchronization of gene expression and chromatin accessibility during cell-state transitions biorxiv.org/content/10.64898…
Maksim Nesterenko retweeted
Excited to share our RegVelo paper in Cell
cell.com/cell/fulltext/S0092…
We unify RNA velocity + GRNs into one model → better OOD prediction of perturbations (e.g. gene KOs), with examples incl. neural crest KO predictions 🔬
Big thanks to W Wang, Z Hu & T Sauka-Spengler 🙏
Maksim Nesterenko retweeted
Юмор в контексте современной России — практически единственное, что меня в этой современной России поддерживает.💀❤️
Maksim Nesterenko retweeted
1/15 Want to decode pathway activity in single cells?
Understand ssGSEA, GSVA, AUCell, and UCell—tools that score gene sets per cell. Here's how they work 🧵
Maksim Nesterenko retweeted
PISA: a versatile interpretation tool for visualizing cis-regulatory rules in genomic data biorxiv.org/content/10.1101/…
Maksim Nesterenko retweeted
A computational model for quantifying instability of tandem repeats across the genome biorxiv.org/content/10.64898…
Maksim Nesterenko retweeted
News from the happiest country in the world 🇫🇮 😐:
Jason Segel tried making friendly small talk in a Finnish grocery store—locals got suspicious, and a security guard intervened assuming he was intoxicated.
hs.fi/kulttuuri/art-20000119…
Maksim Nesterenko retweeted
Human Development Multiomic Atlas: Multiomics and deep learning dissect regulatory syntax in human development nature.com/articles/s41586-0…
Maksim Nesterenko retweeted
Correlation Between Information Entropy and Functions of Gene Sequences in the Evolutionary Context: A New Way to Construct Gene Regulatory Networks from Sequence biorxiv.org/content/10.64898…
Maksim Nesterenko retweeted
Nested-WGCNA: Nested co-expression network analysis identifies compact gene clusters in a black box academic.oup.com/bioinformat…
Maksim Nesterenko retweeted
scMagnifier: resolving fine-grained cell subtypes via GRN-informed perturbations and consensus clustering biorxiv.org/content/10.64898…
Maksim Nesterenko retweeted
Excited to share our latest work:
nature.com/articles/s42003-0…
Huge effort led by @AminNoorani
@UHN_Research @mcgillu @broadinstitute
We generated a single-cell chromatin accessibility atlas across multiple tissues, highlighting how epigenomic landscapes can trace cell-of-origin.


































