COMMON QUESTIONS

Frequently Asked

  • Veil Genomics provides long-read, low-pass (LRLP) sequencing services for researchers working at population scale. We handle the full workflow from sample preparation through data delivery, enabling labs to run up to 96 samples per sequencing run using PacBio HiFi technology. Our process is built for throughput without sacrificing data quality.

  • Standard short-read sequencing misses a significant portion of the genome. It struggles with repetitive regions, complex structural variants, and areas where reads are too short to map with confidence. Long-read technology solves this by producing reads that span those regions directly.

    Low-pass sequencing applies that long-read advantage at scale. Rather than sequencing a single sample to deep coverage, LRLP distributes sequencing depth across many samples while retaining the variant detection that makes long-read valuable.

    The result is more usable data per dollar compared to standard long-read approaches.

  • Our process runs in three stages.

    First, we perform high-molecular-weight DNA extraction using a proprietary, plate-based isolation protocol optimized for robotic automation. This is the foundation of the entire workflow. DNA quality at this stage determines data quality at the end.

    Second, we prepare PacBio HiFi libraries at scale. Our methodology supports up to 96-plex pooling per Revio flow cell, depending on genome size and target coverage. This is where the throughput advantage is realized.

    Third, samples are sequenced and data is returned to your team. We support a range of species, including plant, human, and other animal genomes.

    The extraction and library preparation methodology is proprietary, peer-reviewed, and published. It is the technical basis for everything we do.

  • Our minimum project size is 8 samples. Projects are structured in multiples of 8, which reflects how samples are batched through our extraction and library preparation workflow. When planning your submission, size your cohort accordingly.

    If you are in early-stage planning and want guidance on how to structure your project, contact us before you submit.

  • Turnaround time from sample receipt to data delivery is typically 2 or more weeks, depending on project volume. This includes extraction, library preparation, sequencing, and quality-reviewed data transfer.

    Timeline can vary depending on sample type, species, and sample count. We will confirm an expected delivery window when your project is initiated.

  • Yes, our informatics platform is currently in development. Genotype calling is the first module in the pipeline. The full suite, including GWAS, QTL mapping, and imputation, is targeted for 2026 launch.

    In the meantime, our scientific team is available for consultation on experimental design, data interpretation, and analytical approach. To discuss your project, contact us at sales@veilgenomics.com.

  • Submit a quote request using the form on this page. Include your sample type, species, approximate sample count, and any relevant project context.

    A member of our team will follow up to confirm project fit, discuss timeline, and outline next steps. If you have questions before submitting, you can reach us directly at sales@veilgenomics.com.

Why choose Veil?

Short-Read WGS Standard Long-Read Veil LRLP
Cost per sample ~$80–$200 $1,000–$1,500 $200+
Structural variant detection
Population-scale throughput
Haplotype phasing
Superior scaffolds* Partial
Methylation detection (5mC)
Proprietary analytics platform†
Cost per sample
Short-Read
~$80–$200
Std. Long-Read
$1,000–$1,500
Veil LRLP
$200+
Structural variant detection
Short-Read
Std. Long-Read
Veil LRLP
Population-scale throughput
Short-Read
Std. Long-Read
Veil LRLP
Haplotype phasing
Short-Read
Std. Long-Read
Veil LRLP
Superior scaffolds*
Short-Read
Std. Long-Read
Partial
Veil LRLP
Methylation detection (5mC)
Short-Read
Std. Long-Read
Veil LRLP
Proprietary analytics platform†
Short-Read
Std. Long-Read
Veil LRLP

* Long-read reference panels capture structural variant diversity that short-read panels cannot represent, improving downstream imputation accuracy.

† Veil Analytics is Veil's proprietary analytics platform. Genotype Calling module available now. Full suite launching 2026.