YouTube video by Nucleus Genomics

{{MetaTags.description}}

{{MetaTags.description}}

Machine-learning-powered predictions of the effect of genetic variants on human disease are becoming increasingly important in the clinic. In this manuscript, we lay down the core principles for their trustworthy validation and implementation and highlight four areas where current practices fall short, offering recommendations for advancing the field.

ALT: a beach with a lot of people on it

Genomic sequencing technology allows for identification of reproductive couples with an increased chance, as compared with that in the general population, of having a child with an autosomal recess...

Five years ago I started a new role and I suddenly found myself, a staunch R fan, having to code in Python on a daily basis. Working with data, most of my Python work involved using pandas, the …

We are looking for a Data Scientist in Oxford, UK! 🇬🇧🔬   Become a part of our team enabling our blood testing technology that has the potential to change…

The all-in-one DNA health test.

bioRxiv - the preprint server for biology, operated by Cold Spring Harbor Laboratory, a research and educational institution