Illumina next-generation sequencing (NGS) and microarray technologies represent the gold standard in quality worldwide—and account for ~90% of the world’s sequencing data.* Innovative, intuitive, and completely integrated, our sample-to-data solutions empower your lab to keep ahead of the curve in the rapidly evolving genomics revolution. So you’ll be better able to perform the world-class cancer genomics research you strive for—with the goal of uncovering new insights into the biology of cancer that can lead to meaningful advances in personalized medicine.
Our comprehensive genomics product offerings support multiple cancer research applications, including studies of DNA, RNA, epigenetics, and more. Our range of sequencers can be scaled to meet your needs—from powerful, yet personal, benchtop models to versatile, high-throughput systems. With intuitive data analysis and management capabilities and unsurpassed customer support, we can deliver the answers you seek—quickly, accurately, and cost-effectively.
Explore genomics-based approaches to investigating cancer using NGS and microarrays.
Swetha Anandhan highlights the use of single cell RNA-sequencing to identify a unique population of macrophages in glioblastoma multiforme that persists after treatment with immune checkpoint inhibitors.View Webinar
Side-by-side comparison shows WGS produced more accurate results in less time and at a similar costRead Article
Developing and automating best-practice workflows that make analyzing, processing, and disseminating genomic data accessible to researchers and clinicians.Read Interview
Studies from Japan and Belgium seek to advance precision medicine in oncologyRead Article
NGS technology has accelerated the discovery of variants associated with cancer. Some of these research discoveries became the basis for companion diagnostics and laboratory developed tests (LDT) now in use in molecular diagnostic laboratories worldwide. We spoke with key opinion leaders about the ongoing challenges and potential of NGS in oncology testing.Read Interview
*Data on file based on a 2013 study.