Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain
the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in
Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles
and JavaScript.
In this Tools of the Trade article, Vipul Singhal and Nigel Chou describe BANKSY, a machine learning tool that harnesses gene expression gradients from the neighbourhood of a cell for cell typing and domain segmentation.
Petrazzini et al. leverage exome sequencing data and a novel machine learning-based marker to identify rare and ultra-rare coding variants associated with coronary artery disease.
In this Journal Club article, Olivia Rissland describes how a 1987 paper by Don Cleveland and colleagues provided insight into co-translational gene regulation of tubulin.
In this Journal Club, Kirstyn Brunker highlights two papers published in 2017 that showcase how the emergence of portable sequencing capabilities improved the real-time response to infectious disease outbreaks on a global scale.
Renée Beekman discusses the possibilities for research into transient enhancers by highlighting a recent paper by Vermunt et al. that identifies how they can modulate gene silencing dynamics.
In this Review, Sayers et al. summarize findings from recent large-scale genetic epidemiology studies on the genetic underpinnings of chronic respiratory diseases. Furthermore, they outline how insights gained from such studies can improve treatment approaches.
In this Review, the authors compare the characteristics and detection methods of germline and somatic variants. Furthermore, they outline how the interplay between the two types of genetic variation can affect human health.
Plant pangenomes have had a transformative impact on crop enhancement, biodiversity conservation and evolutionary research. This Review delves into the application of plant pangenomes for understanding trait diversity, aiding breeding, biodiversity classification and monitoring, and illuminating evolutionary innovations.
Therapeutics that target long non-coding RNAs (lncRNAs) are promising treatments for cancer. In this Review, the authors discuss how technological advances have helped improve drug discovery pipelines for lncRNAs and overview their strengths and challenges as oncological therapeutics.
