News

Researchers examined five AI models on multiple genomic tasks to see how well they performed. The findings provide a framework for researchers to choose optimal AI models for specific tasks.

Researchers discovered over 41,000 missing transcripts in people from global populations, revealing major gaps in current gene maps built mainly from European genomes. Using long-read RNA sequencing, the team uncovered new gene activity.

Researchers developed a method that integrates bulk and single-cell data to map how genetic variants influence gene expression across seven brain cell types. The tool identified about 75% more disease-relevant genes than conventional approaches.

Brain scans, genetic data and molecular imaging have been combined to create a detailed biological map that reveals the long-sought bridge between micro- and macro-level brain organization.

Researchers developed Bits2Bonds, a platform that merges molecular dynamics simulations with machine learning to design new polymer materials for RNA delivery. The tool enables rapid virtual screening of thousands of candidates before lab testing.

UC Berkeley scientists discovered that a microbe can interpret the UAG stop codon in two ways, producing different proteins based on environmental cues. This breaks a long-held biological rule that each codon has only one meaning.

Discover how researchers described the most complete cattle genome yet, which may lead to improvements in Wagyu breeding and better beef marbling.

A new study describes a key molecular mechanism that explains how cells exchange information through extracellular vesicles.

Project Psyche has sequenced 1,000 butterfly and moth genomes, providing unprecedented tools for studying evolution, biodiversity loss and pest management. The dataset, covering nearly all UK butterflies, helps identify species.

Researchers have uncovered a specific form of epigenetic aging that leads to the shutdown of key genes in intestinal stem cells.