Genomics is the comprehensive study of the genome, which includes the complete set of genetic information in an organism. This area of study also examines the structure, function, changes in sequence, location of genes (gene mapping), and techniques used to study the genome.
Advances in genomic analysis technologies, such as next-generation sequencing, enable researchers to efficiently study how DNA plays a role in health and disease with unprecedented scale, speed, and accuracy.
Next-generation sequencing (NGS) technology is a powerful tool to study genomic sequences and allows insights into many biological questions. DNA sequencing and genotyping techniques can provide essential tools to better understand health and disease. Explore these essential genomic techniques below to learn more.
Explore whole-genome sequencing using NGS for comprehensive genetic analysis.
Efficiently identify coding variants across a broad range of applications, including population genetics, genetic disease, and cancer studies.
Save time, lower expenses, and efficiently analyze data with targeted sequencing.
Get an overview of genotyping techniques and see how to study genetic variants such as single nucleotide variants, copy number variants, and large structural changes in DNA.
Genomic sequence data can be combined with other omic information to help researchers identify candidate genes and understand mechanisms controlling interesting phenotypes. This holistic, multiomics approach can uncover new regulatory elements for biomarkers and therapeutic targets.
See how Dr. Victoria Parikh, Assistant Professor of Medicine at Stanford University uses genome sequencing and omics approaches to pave the way for precision cardiovascular medicine.
This webinar covers exciting advancements using a multiomic approach to develop targeted immunotherapies through the integration of genomic, transcriptomic, and proteomic data.
Learn how genomic analysis is making headway with a a deadly oral cancer that is strongly associated with chewing tobacco together with slaked lime.
A multiomics approach can uncover deeper biological context to disease-causing variants and accelerate our understanding of common disorders, unlock new pathways, biomarkers, and drug targets.
Explore flexible and efficient DNA library prep for a broad range of applications. Illumina DNA PCR Free Prep and Illumina DNA Prep with Enrichment offer a high-performing, fast, and integrated workflow for sensitive applications.
Flexible, affordable, and scalable to help both new and experienced users achieve fast turnaround times and reduced operating costs with NextSeq 1000 and NextSeq 2000 Sequencing Systems.
A secure genomic data platform to operationalize informatics and drive scientific insights.
Accurate, comprehensive, and efficient secondary analysis of next-generation sequencing data.
Correlation Engine is an interactive knowledge base where users can put their private multiomic data into biological context with highly curated public multiomic data.
Explore the benefits of human genotyping with arrays for trusted data quality, high throughput demands, and more.
Study the complete set of RNA transcripts produced by the genome.
Find out more about disease association studies, gene target identification, polygenic risk scores, and other research topics.
Explore how to use high-throughput genomic technologies to quickly scan entire genomes of large numbers of subjects and find genetic variants correlated with a trait or disease.
We're developing solutions to facilitate early detection and intervention for affected families.
Cardiac gene panels using NGS can help to detect variants associated with cardiomyopathy and other heart diseases.
Explore our full suite of systems to harness the power of next-generation sequencing to meet your ever-evolving needs.
Explore how we aggregate, analyze, and interpret genomic data for meaningful insights.
Researchers perform genome-wide association studies to identify disease-associated DNA risk loci and develop PRSs for clinical validation.
Read how NGS-based solutions were used to search for gene expression profiles for cancer biomarker discovery.