New work has shown that what was previously thought of as junk DNA may in fact play an important role in gene regulation.

Can AI turn data into drug candidates? Discover its role in drug discovery, from predictive biology to biomarkers data challenges.

In this feature, we look at some applications of ChatGPT that could revolutionise the way we view research and the caveats of the tech.

Currently, Illumina is comfortably the largest gene-sequencing company. But how did Illumina manage to monopolise the gene-sequencing market?

Advances in protein sequencing enable deeper insights and facilitate applications such as biomarker discovery and personalised medicine.

It is now possible to sequence an entire genome in just one day, due to the advent of next generation sequencing (NGS).

A history of the development of DNA sequencing technologies, from humble beginnings to a defining technology of the modern age.

A guide to multi-omics including genomics, transcriptomics, epigenomics, proteomics, single-cell and spatial analysis, data integration.

Spatial context matters in complex biology. From cancer prevention to cancer biology, and for both translational and clinical studies, multiomic spatial […] ...

Single-cell RNA sequencing (scRNA-seq) has become the most established and widely used technique within single-cell analysis. Spatial transcriptomics is quickly following in the footsteps of scRNA-seq ...

Explore the future of cancer care in our webinar, Unlocking Precision Oncology's Full Potential through Next-Gen Molecular Analysis.

We will cover the different types of multi-omics integration and the options available for bulk, single-cell and spatial datasets.