# Sentieon

> Sentieon builds ultra-fast, highly accurate software for analyzing DNA and RNA sequencing data. Its pipelines - DNAseq, DNAscope, TNseq, and TNscope - replace the open-source GATK workflow with matching or better accuracy while running many times faster on ordinary CPUs, no specialized hardware required. Founded in 2014 and based in the Bay Area, the company has won top honors in multiple precisionFDA and DREAM challenges, and its tools are used by pharma, clinical labs, sequencing platform makers, and genomics researchers worldwide to turn raw reads into trustworthy variant calls quickly and cheaply.

- **Founded:** 2014
- **Headquarters:** San Jose (Bay Area), California, United States
- **Founders:** Jun Ye (Co-Founder & CEO), Hanying Feng (Co-Founder & Director of Engineering), Xiaofeng Liu (Co-Founder & Director of Engineering)
- **Team size:** Small (roughly 11-50 employees; LinkedIn lists ~11)
- **Products:** DNAseq, DNAscope, DNAscope LongRead, DNAscope Hybrid, DNAscope Pangenome
- **Notable:** Ranked 1st in all three sub-challenges of the precisionFDA Brain Cancer Predictive Modeling and Biomarker Discovery Challenge., Won most categories in the precisionFDA Truth Challenge V2 for calling variants from short and long reads in difficult-to-map regions., Top performer in the ICGC-TCGA DREAM Somatic Mutation Calling Challenge for SNVs, indels and structural variants.

## Products & services

- **DNAseq** — Short-read germline variant calling for SNPs and indels that matches GATK output while running dramatically faster on standard CPUs.
- **DNAscope** — precisionFDA award-winning germline pipeline using platform-specific machine learning models to call SNPs, indels, SVs and CNVs with very high accuracy.
- **DNAscope LongRead** — Germline variant detection from long reads (PacBio HiFi, Oxford Nanopore); calls a 30x HiFi genome in under 4 hours, roughly 6x faster than DeepVariant.
- **DNAscope Hybrid** — Combines short- and long-read data from the same sample into a single pipeline for SNPs, indels, SVs and CNVs.
- **DNAscope Pangenome** — Aligns short reads to a graph reference genome and calls germline variants including segmental duplications.
- **TNseq** — Somatic (tumor-normal) SNV and indel caller producing GATK/Mutect-compliant output at high speed.
- **TNscope** — Somatic variant caller with UMI consensus support for SNVs, indels and structural variants, built for cancer and liquid biopsy workflows.
- **Cloud deployment** — Native support and marketplace availability across AWS, Microsoft Azure and Google Cloud, plus on-prem CPU clusters.

## Achievements

- Ranked 1st in all three sub-challenges of the precisionFDA Brain Cancer Predictive Modeling and Biomarker Discovery Challenge.
- Won most categories in the precisionFDA Truth Challenge V2 for calling variants from short and long reads in difficult-to-map regions.
- Top performer in the ICGC-TCGA DREAM Somatic Mutation Calling Challenge for SNVs, indels and structural variants.
- DNAscope LongRead achieves >99.8% precision and recall on GIAB HiFi benchmarks, ~6x faster than DeepVariant.
- Pangenotyper (with Velsera) won the Bio-IT World 2024 Best-of-Show Award.
- Demonstrated cost per genome under $1.50 on AMD 4th Gen EPYC processors (2024).
- DNAseq produces bit-for-bit GATK-matching germline results at a fraction of the runtime.

## Latest updates

- **2024-04** — Pangenotyper (Graph Genome), built with Velsera, wins the Bio-IT World 2024 Best-of-Show Award.
- **2024-03** — AMD benchmark shows DNAscope achieving cost per genome below $1.50 on 4th Gen EPYC processors.
- **2022-06** — Published DNAscope LongRead preprint on bioRxiv for accurate, fast germline calling from PacBio HiFi reads.
- **2021-01** — Won the precisionFDA Truth Challenge V2 and launched its PacBio long-read analysis workflow.

## Links

- Website: https://www.sentieon.com
- LinkedIn: http://www.linkedin.com/company/sentieon-inc-
- Twitter/X: https://twitter.com/sentieon
- GitHub: https://github.com/Sentieon

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Profile page: https://yespress.io/sentieon
Published by YesPress — https://yespress.io
Last updated: 2026-07-02
