Keep up with the field without drowning in PDFs. The strongest new open-access research — genomics, single-cell, proteomics, systems biology and beyond — each turned into a clear, few-minute read you can trust. Three new papers a week.
A comparison of five single-cell transcriptomics methods on human placenta reveals that sample processing drastically alters detected cell-type proportions, while in situ combinatorial indexing shows a strong, unexpected bias toward nuclear rather than cytoplasmic RNA.
The authors developed a multimodal contrastive learning model for Electronic Health Records that mathematically connects the loss function to the singular value decomposition of a pointwise mutual information matrix, enabling a novel privacy-preserving algorithm.
Network pharmacology provides a systems-level framework integrating multi-omics and tools like STRING and Cytoscape to overcome the limitations of single-target cancer therapies.
A new framework modeling morphological shape evolution as a diffusion process using Metropolis-Hastings MCMC improves ancestral shape estimation at the root and internal nodes of a phylogeny.
SciPhy is a new Bayesian phylogenetic tool that reconstructs highly accurate, time-scaled cell lineage trees and population growth dynamics from sequential CRISPR-based lineage tracing data.
Multiomic profiling of 86,689 single nuclei across 16 human tissues revealed that cell types delineated by DNA methylation differ extensively from those defined by 3D genome structure.
A deep learning model trained on hundreds of thousands of ECGs identified a novel electrocardiogram biomarker that predicts sudden cardiac death, flagging a high-risk patient group largely missed by current clinical standards.