Applied to samples from more than 600 patients and controls, urinary cell-free RNA profiling with uRARE-seq demonstrated high sensitivity in detecting bladder cancer, and correlated with treatment res...

In this post, we share two results that show how Claude can help life scientists increase the pace of their research. In the first, we tested Claude’s ability to design protein binders from scratch, a...

An overview of some interesting enabling technologies

The BabyDetect project offered expanded newborn genomic screening covering more than 400 genes to 4,260 families, leading to 71 clinical diagnoses.

The Somatic Mosaicism across Human Tissues Network aims to create a reference catalogue of somatic mosaicism across different tissues and cells within individuals.

Background In-solution hybridization enrichment of genetic markers is a method of choice in paleogenomic studies, where the DNA of interest is generally heavily fragmented and contaminated with enviro...

Human Immunodeficiency Virus type 1 (HIV-1) is responsible for the global HIV/AIDS epidemic and the establishment of an integrated HIV-1 reservoir remains the primary obstacle to cure. Upon therapy in...

Nature Reviews Genetics, Published online: 28 March 2025; doi:10.1038/s41576-025-00828-zAdvances in long-read sequencing are driving the implementation of these technologies for transcriptome profiling. The authors provide a comprehensive guide to long-read RNA sequencing, including experimental and computational tools, current applications, challenges and opportunities.

Background Metagenomics is a powerful approach for the detection of unknown and novel pathogens. Workflows based on Illumina short-read sequencing are becoming established in diagnostic laboratories. ...

Targeted cancer therapies have shown therapeutic advantages due to tumor-specific drug activity. Single-cell RNA-sequencing has been widely used in cancer studies to define different cellular identities. However, accurate identification of tumor vs other normal cells is essential to define novel tumor-specific targets. Recent methods have been developed to perform the task of tumor cell annotation, which can be divided into two categories: CNV-based methods, which use transcriptome measurements to infer copy number variations and identify cells with alterations as tumor, and Reference-based methods which train a classifier using previously annotated tumor data and use it to annotate new datasets. We benchmarked the state-of-the-art method of each category, SCEVAN and scATOMIC, respectively, together with Consensus annotation method where a cell is considered tumor if both methods agree on that. Across 20 cancer datasets spanning 9 cancer types with a total of 379 samples, the Consensus

Icelandic-Danish artist Olafur Eliasson describes his work as using "the medium of people".

Discovery in Methylation Profiling

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