DeepTalk combines scRNAseq and spatial transcriptomics data to infer cell-cell communications, revealing intricate intercellular dynamics within tissues. #BiotechNatureComms nature.com/articles/s4146…

Fine-tuning protein language models boosts predictions across diverse tasks. @Rostlab Michael Heinzinger #BiotechNatureComms nature.com/articles/s4146…

A spatial omics representation method SpaGFT for analyses of complex organs. #SpatialOmics Yuzhou Chang Qin Ma BMBL #BiotechNatureComms nature.com/articles/s4146…

STIE integrated spot-level gene expression with histology images, computationally achieving single-cell level spatial transcriptomics. Zhu Lab #BiotechNatureComms nature.com/articles/s4146…

Authors develop a fast and accurate computational model of neurons’ responses to electricity. Minhaj Hussain Nikki Pelot, PhD Duke Biomedical Engineering #BiotechNatureComms nature.com/articles/s4146…

A statistical approach scDist to identify perturbed cell types that controls for common confounders in scRNAseq data. @phillipnicol Avi Sahu & Lab (hiring)🇺🇦 #BiotechNatureComms nature.com/articles/s4146…

scConfluence for single-cell diagonal integration with regularised Inverse Optimal Transport. Jules Samaran Laura Cantini INSTITUT PASTEUR #BiotechNatureComms nature.com/articles/s4146…

Nanodynamo: an experimental and computational workflow for studying subcellular #RNAdynamics #Nanopore Valeria Famà, Mattia Furlan, Mattia Pelizzola, IIT, RNA initiative at IIT, Dip. di Biotecnologie e Bioscienze - UNIMIB #BiotechNatureComms nature.com/articles/s4146…

ST-GEARS is a 3D Spatial Transcriptomics reconstruction approach to bridge the gap between in vivo cell locations and in vitro analysis. @SummerXia, BGI Group #BiotechNatureComms nature.com/articles/s4146…

A comprehensive map of RNA binding proteins interactions to identify post-transcriptional regulatory networks. Matvei Khoroshkin, Andrey, Hani Goodarzi, Faraz K Mardakheh, Vanja (Ivan Kulakovskiy) #BiotechNatureComms nature.com/articles/s4146…

Improving prediction performance of general protein language model by domain-adaptive pretraining on DNA-binding protein Nature Communications nature.com/articles/s4146…

The Romero lab evaluate neural network architectures' ability to extrapolate distant regions of the protein fitness landscape. #BiotechNatureComms nature.com/articles/s4146…

A GAN-based framework STANDS for the multi-sample detection and dissection of anomalous tissue domains from spatial transcriptomics. Nature Communications #BiotechNatureComms nature.com/articles/s4146…

Accurately predicting enzyme functions through geometric graph learning on ESMFold-predicted structures Nature Communications #BiotechNatureComms nature.com/articles/s4146…

Authors present ENCORE, an approach to enhance reproducibility of computational research. #transparancy, #reproducibility, #open-science #BiotechNatureComms Nature Communications nature.com/articles/s4146…

Turing patterns can arise from widespread binding-based reactions without explicit feedback loops. Tian Hong UT Dallas Biology #mathbio #BiotechNatureComms nature.com/articles/s4146…

A sprayable adhesion barrier that quickly covers large areas, preventing postsurgical adhesions and exerting anti-inflammatory effects. #BiotechNatureComms Nature Communications nature.com/articles/s4146…

MUDI integrates #scHi-C and #scRNA-seq data to define the 3D-regulated and biological-context dependent cell subpopulations or topologically integrated subpopulations (TISPs). Nature Communications nature.com/articles/s4146…

The #NobelPrize in Chemistry has been awarded to David Baker, Demis Hassabis and John Jumper. Nature Portfolio presents a collection of research, review and opinion articles that celebrates the awardees' contributions and the advances they have inspired nature.com/collections/ed…

MATES, a deep learning method that accurately assigns reads to specific TE loci, enhancing TE quantification in single-cell omics datasets. Yuuuuuuuuuuuumin Jun Ding #BiotechNatureComms nature.com/articles/s4146…