The advent of single-cell omics technologies has revolutionized our understanding of the complex cellular landscape in cancer. Traditional bulk sequencing ...

This Collection welcomes studies using or advancing multi-omic integration approaches. Research to develop multi-omic integration pipelines is particularly encouraged. Access to diverse omics ...

A new review in Science China Life Sciences examines how machine learning and host-microbiome multi-omics can be combined to better understand health and disease. The article outlines the road from ...

Researchers have developed the IFAM model, which integrates diverse functional genomic annotations to enhance prediction accuracy for complex traits. Tested on datasets from humans, livestock, and ...

Nearly 50 new cancer therapies are approved every year. While this positive trend is a huge benefit for patients, Altuna Akalin, PhD, head of the bioinformatics and omics data science technology ...

Cancer metabolism has re-emerged as a central hallmark of tumor initiation, progression, and therapeutic resistance. Advances in high-throughput ...

BioVenic expands its integrated Animal Omics Solutions to support high-resolution, multi-layer animal research.

Predicting tumor recurrence at the molecular level emerges as a critical challenge, especially for patients with complex multi-omics profiles. Traditional prognostic models relying on single ...

Tom Lanz (Senior Director, Multi-Omics and Biomarkers, Pfizer) explains how AI-powered multi-omics is improving drug safety.

You’ve discovered some interesting biology and have a set of required parameters, thousands of data points, a budget and a deadline. How can you harness the power of computational chemistry to reach ...

Integrating metagenomics and bioinformatics enhances food safety, enabling early detection of microbial risks and supporting ...