Regulatory circuits of gene expression can be represented as gene regulatory networks (GRNs) that are useful to understand cellular identity and disease. Here, the authors review the computational methods used to infer GRNs — in particular from single-cell multi-omics data — as well as the biological insights that they can provide, and methods for their downstream analysis and experimental…
A paper in Science reports a time-resolved multiomic atlas of the human yolk sac, expanding knowledge of this poorly resolved structure in humans.
Roohani et al. have developed a deep learning tool called GEARS that predicts the effects of multigene perturbations.
Genome-wide association studies (GWAS) have revealed important biological insights into complex diseases. The authors review approaches that leverage GWAS to identify opportunities for repurposing existing…
Carla Daniela Robles-Espinoza celebrates a paper that inspired a new generation of Mexican scientists.
2-aminothiazole — a hybrid of prebiotic amino acid and nucleotide precursors — sequentially accumulates and purifies glycolaldehyde and glyceraldehyde from complex mixtures in the order…
A general-purpose protein language model rapidly improves antibody properties.
A historical perspective on how next-generation sequencing chemistry was developed.
Regulatory circuits of gene expression can be represented as gene regulatory networks (GRNs) that are useful to understand cellular identity and disease. Here, the authors…
