AI Decodes the Hidden Grammar of the Genome’s Master Organizer CTCF
A new computational framework called DeCTCF uses AI-predicted epigenomic features to sort more than 236,000 CTCF binding sites into 20 ...
A new computational framework called DeCTCF uses AI-predicted epigenomic features to sort more than 236,000 CTCF binding sites into 20 ...
A new computational study of Pseudomonas aeruginosa shows that transient population dynamics and inoculum size fundamentally reshape antibiotic susceptibility, prompting ...
A spatially resolved model of the yeast galactose switch shows that intracellular architecture, especially ER-bound translation, changes gene regulation predictions.
A new graph-attention-based generative adversarial network called GARAGE produces realistic synthetic single-cell RNA-seq data that preserves rare cell types and ...
A new computational framework called STARIT converts the spatial positions of mRNA molecules inside cells into image tensors, allowing deep ...
Researchers have developed CardamomOT, an optimal transport-based framework that jointly infers gene regulatory networks, reconstructs unobserved protein trajectories, and enables ...
Researchers at Kookmin University have developed AlterProtX, an AI framework that compares animal and non-animal proteomes at scale to identify ...
A new framework called Process Bigraph, implemented in Vivarium 2.0, provides a formal architecture for composing multiscale biological simulations from ...
A computational study of Aphaenogaster senilis ants shows that idle workers act as a dynamic reserve workforce that stabilizes colony ...
A new computational model shows that phase differences between subregions of the suprachiasmatic nucleus explain why the brain's master circadian ...
A new computational model shows that a small pool of internalized follicle-stimulating hormone receptors can drive outsized endosomal signaling, revealing ...
An international team has developed OpenCGChromatin, an open-source simulation tool that acts as a computational microscope to reveal how chromatin ...
Researchers have developed DyME, an open-source platform that automates high-throughput mutagenesis, molecular dynamics simulation, and comparative analysis of thousands of ...
A new calibration framework shows that common benchmarking metrics masked real perturbation-specific signal, and that deep learning models can outperform ...
A new open standard called PEtab Select brings automated, reproducible model selection to systems biology, enabling researchers to compare billions ...
A new multimodal deep learning framework called GeoEPred combines protein language model semantics with predicted 3D structures to more accurately ...
A crowdsourced competition called Bits to Binders tested 12,000 AI-designed minibinders as CAR T cell recognition domains, revealing both the ...
Researchers have developed stMCP, a Model Context Protocol server that lets scientists analyze spatial transcriptomics data through natural language while ...
Researchers in Hong Kong and Japan have developed an integer programming method that constrains single-cell trajectory trees to binary branching, ...
A major update to the AssayBLAST software adds strand and proximity validation, theoretical amplification prediction, and adaptive BLAST parameter optimization ...
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