Exome sequencing allows cancer researchers to assess only coding regions, as they are the most likely to contain mutations that affect tumor progression. Depending on experimental needs, the content for cancer exome sequencing can also be expanded to untranslated regions and miRNA binding sites. Because it offers an accessible combination of turnaround time and price, exome sequencing is the method of choice for many tumor-normal comparisons.Learn More
Library preparation and exome enrichment are critical to the success of any exome sequencing experiment. For cancer exome sequencing, the ability to enrich limited DNA samples is especially important. Exome enrichment methods that uniformly and specifically enrich content enable reliable identification of coding variants.
Illumina offers several library preparation, sequencing, and data analysis options for cancer exome sequencing. Streamlined library prep workflows and flexible kit configurations accommodate multiple study designs. Illumina systems deliver industry-leading data quality—in fact, approximately 90% of the world’s sequencing data are generated using Illumina sequencing by synthesis (SBS) chemistry.
Push-button apps in BaseSpace Sequence Hub simplify data analysis, so you can spend less time analyzing data and more time focusing on the next breakthrough.
Click on the below to view products for each workflow step.
Library prep and exome enrichment in only 1.5 days with as little as 4 Gb of sequencing.
Flexible configurations that support up to 12 exomes per run.HiSeq 2500 System
The highest throughput for sequencing dozens to hundreds of cancer exomes per run.
Patterned flow cell technology results in higher throughput, lower price per sample, and enhanced speed and performance.
Uses the BWA Genome Alignment Software and GATK Variant Caller for exome data analysis.Isaac Enrichment App
Uses the Isaac Genome Alignment Software and the Isaac Variant Caller for exome data analysis.
The Illumina genomics computing environment for NGS data analysis and management.