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Methods to study cell-cell communication from single-cell sequencing data

This feature on cell-cell communication is adapted from part of Chapter 4 of the 2023 Spatial and Single-cell Playbook. Organisms […]

AI can accurately detect Parkinson’s disease and define its subtypes

Parkinson’s disease is a clinically heterogenous neurodegenerative disorder, meaning that it is likely that different cellular mechanisms drive its pathology […]

The Festival of Genomics and Biodata: An Interview with Sowmiya Moorthie, PHG Foundation

At the Festival of Genomics and Biodata, we are lucky enough to be joined by some of the biggest names […]

A framework for identifying treatable targets in rare genetic diseases

Written by Charlotte Harrison, Science Writer The rarity of many genetic conditions means that the traditional model of drug discovery […]

How to: perform polygenic risk score analysis

Original article written by Shannon Gunn, August 2020. Updated by Lyndsey Fletcher, July 2023. Polygenic risk scores are a particularly […]

The Festival of Genomics and Biodata: An Interview with Henning Hermjakob, EMBL-EBI

At the Festival of Genomics and Biodata, we are lucky enough to be joined by some of the biggest names […]

Predicting type 1 diabetes

‘Predicting type 1 diabetes’ – Written by Charlotte Harrison, Science Writer  A team of international scientists have developed a biomarker […]

TIGER: a tool to predict CRISPR–Cas13 off-target activity

‘TIGER: a tool to predict CRISPR–Cas13 off-target activity‘ – Written by Charlotte Harrison, Science Writer. CRISPR technology that targets RNA […]

Unlocking the future: where is gene editing going next?

As advancements in genetic technologies accelerate at an astonishing pace, the potential for gene editing to transform our world becomes […]

AI identifies genetic targets for therapy with limited transcriptomic data

Understanding the regulatory networks between genes is a powerful way of uncovering mechanisms and therapeutic targets for disease. A study […]