Browse our latest Genetics and Genomics articles

High-throughput animal tracking and quantitative behaviour analysis detects diverse phenotypes in genetic disease models at a scale that makes drug screens possible.

DNA sequencing of the yerba mate (Ilex paraguariensis) genome reveals convergent genomic changes, biochemical pathways, mutations, and substrate-binding orientations responsible for caffeine biosynthesis when compared to coffee and tea plants.

A novel statistical framework and approach using sibling phenotype pairs allows inference of genetic architecture in the tails of complex traits to be made without genetic data.

tRNA Q34 modification impacts tyrosine codon decoding and leads to proteome reprogramming in response to antibiotic stress in Vibrio cholerae.

A single amino acid change in a neuronal ion channel called KCNQ2 blocks ion flow, prevents protein localization on axons, and results in severe epilepsy and slowed neurological development.

A genetic screen and combined bioinformatic analyses revealed multiple novel transcription factors and their hierarchical organization in coordinating mitochondrial biogenesis.

Big data analysis, protein structure prediction, and artificial intelligence are integrated to predict novel and highly transmissible SARS-CoV-2 variants.

Cellular stress induces RNA decay that depends on stress granule assembly and is mediated by XRN1, independent of poly(A) tail and 5' cap removal.

A new genomic method called MChIP-C measures H3K4me3-associated chromatin interactions with extremely high resolution and sensitivity, detecting interactions in over 60% of functionally verified enhancer-promoter pairs.