The Hidden Complexity of Cancer, Revealed

High-sensitivity detection of SVs, SNVs, InDels, and CNVs—completing your view of somatic variation.

The Hidden Challenge in Cancer Genomics:
Structural Variation

Structural variants (SVs)—large insertions, deletions, translocations, and inversions—play a key role in tumor initiation, progression, and drug resistance

Yet they remain one of the most under-detected classes of somatic mutations due to the limitations of conventional sequencing:

Short-read WGS often fails to capture large SVs due to limited molecule length
False positives are common, requiring manual review and validation
High molecular weight DNA or specialized platforms are often required—incompatible with FFPE and clinical workflows

As a result, many tumor samples are labeled “driver-negative”, even though structural drivers may be present but missed. That’s why we built Dovetail® LinkPrep assay paired with the Dovetail® Analysis Portal—a short-read-based, linked-read solution that empowers researchers to confidently detect structural variants alongside SNVs, InDels, and CNVs in a single assay.

Somatic Variant Detection Video

Improved Whole Genome Variant Detection

Generate a comprehensive whole genome view of genetic variation including structural variants, SNVs, InDels, and CNVs with high senstivity. LinkPrep technology enables your short-read sequencer to capture long-range information across the genome.

Watch Here

Unlock the Full Spectrum of Somatic Variation in Three Easy Steps

Dovetail® LinkPrep Technology extends the capabilities of short-read sequencers by capturing long-range genomic information. When paired with the Dovetail® Analysis Portal, you gain a simplified, end-to-end workflow for somatic variant discovery—without specialized informatics or equipment.

Test Drive Dovetail Analysis Portal

Do More with Your Short Reads

Customer Testimonial:

"Our lab is excited about the potential of LinkPrep™ data. We currently use a range of NGS-based assays to catalog genetic variations spanning from SNVs up to large SVs. LinkPrep™ has the potential to become a key tool in our oncology research, offering powerful capabilities for the de novo detection of the full spectrum of somatic variants that we focus on."

Brian Walker, Ph.D.

Professor of Medical and Molecular Genetics, University of Miami Miller School of Medicine

Capture SVs Missed by Other Technologies—Without the Noise

The LinkPrep assay, WGS and RNA-seq were used to characterize structural variants in a clinical ovarian sarcoma sample.

The LinkPrep™ assay accurately identified three distinct translocations without any false positives, supported by robust read counts (minimum read support >500).
These SVs involve several oncogenes known to be linked to ovarian cancer.
WGS and RNA-seq methods fall short, detecting only two and one translocations, respectively, with minimal read support (less than 4 reads).
These methods generated high numbers of false positives - 36 for RNA-seq and a staggering 402 for WGS - requiring extensive manual review and validation.