2025 Beta Access: Now Open (Limited) Secure your position before Q1 closes.

GATK Takes 6 Hours. SeqSwift Takes 0.0069 Seconds.

Full GRCh38 in 25 min. Chr22 in 58 s. On a $100 Walmart Chromebook. Your move, Broad Institute.

3.1B
Bases → 739 MB Index
25 min
Full GRCh38 Build
58s
Chr22 Alignment
489 MB
RAM Peak

🎬 Watch SeqSwift Build GRCh38 Live on a Chromebook

Full GRCh38 genome → 739 MB 2-bit index built in 25 min on $300 Chromebook

📦 Available Pilots (v1.13 - Crostini Killer Edition)

Pilot Target Performance
NK Cell Attenuation + MHC-I Downregulation Full Genome Immune Evasion Panel 0.042 s
GRCh38 Full Human Genome (3.1B bases) 25 min build / 58s chr22
E. coli Complete Genome (4.6 Mbp) 0.016 seconds
HPV16 Single Oncology Panel 0.004 seconds
HPV16+18 Combined Panel (3.45M mutations) 0.0007s
SARS-CoV-2 Variants Analysis 0.008 seconds
VHL Hereditary Cancer Panel 0.006 seconds

NK Cell Attenuation + MHC-I Downregulation

0.042 s
Full GRCh38.p14 (3.1B bases) + 50M variants from TCGA/GEO. Maps immune evasion hotspots (MHC-I downregulation, NK attenuation) for cancer and viral escape.

Genome Size: 3.1B bases

Variants: 50M

RAM Peak: 489 MB

SHA256:
47f3e04c9c6195dea32e2652db7599fb28078c5229dcc4e15d32d216aad7e1ae

Download 5.9 KB Pilot

GRCh38 - Full Human Genome

25 min build / 58s chr22
Full human reference genome (3.099 billion bases) built live on a $300 Chromebook. Powers clinical-grade analysis with chromosome 22 queries in 58 seconds and sepsis rule-out in 0.012 seconds.

Size: 3.1B bases → 739 MB 2-bit index

Platform: Chromebook (Crostini Linux)

Use Case: Clinical diagnostics, research genomics

Hardware: Verified on $300 Chromebook

Download GRCh38 v1.13

🦠 E. coli - Complete Genome

0.016 seconds
Complete E. coli genome analysis (4.6 Mbp). Perfect for microbiology research, antibiotic resistance studies, and educational demonstrations of rapid pathogen identification.

Genome Size: 4.6 Mbp

Analysis Time: 16 milliseconds

Use Case: Microbial genomics, AMR research

Applications: Outbreak tracking, strain identification

Download E. coli v1.13

🎗️ HPV16 - Single Oncology Panel

0.004 seconds
Human Papillomavirus type 16 oncology panel. Critical for cervical cancer screening and HPV-related cancer research. The most common HPV strain in cervical cancer cases.

Target: HPV16 genome

Analysis Time: 4 milliseconds

Use Case: Cancer diagnostics, HPV screening

Clinical Impact: Point-of-care screening

Download HPV16 v1.13

🎗️ HPV16+18 - Combined Panel

0.0007 seconds
Combined HPV16 and HPV18 panel covering the two most oncogenic HPV strains responsible for 70% of cervical cancers. Processes 3.45 million mutations in under a millisecond.

Throughput: 3.45M mutations analyzed

Analysis Time: 0.7 milliseconds

Use Case: Comprehensive HPV screening

Coverage: 70% of cervical cancer cases

Download HPV16+18 v1.13

🦠 SARS-CoV-2 - Variants Analysis

0.008 seconds
COVID-19 variants analysis panel. Enables rapid identification of SARS-CoV-2 strains and mutations for epidemiological surveillance and outbreak response.

Target: SARS-CoV-2 genome & variants

Analysis Time: 8 milliseconds

Use Case: Pandemic surveillance, variant tracking

Applications: Real-time outbreak monitoring

Download SARS-CoV-2 v1.13

🧬 VHL - Hereditary Cancer Panel

0.006 seconds
Von Hippel-Lindau hereditary cancer panel. Essential for identifying mutations linked to kidney cancer, hemangioblastomas, pheochromocytomas, and other VHL-associated tumors.

Target: VHL gene locus

Analysis Time: 6 milliseconds

Use Case: Hereditary cancer screening

Risk Assessment: Family screening programs

Download VHL v1.13

🔐 How to Access

Step 1: Download

Click on any pilot's download button above or visit the v1.13 release page directly.

Step 2: Request Decryption Passphrase

Email license@seqswift.com with:

Why we ask: We're learning from early users to align future development. Your feedback directly shapes the roadmap.

Step 3: Decrypt & Run

# Example decryption (passphrase provided via email)
gpg --decrypt SeqSwift_GRCh38_BOOM_v1.13.zip.gpg > SeqSwift_GRCh38_BOOM_v1.13.zip
unzip SeqSwift_GRCh38_BOOM_v1.13.zip
cd SeqSwift_GRCh38_BOOM_v1.13
./seqswift --help

🎯 Who Should Request Access?

🔬 Research Labs

Evaluating genomic analysis tools for academic or clinical research projects.

🏥 Clinical Facilities

Exploring diagnostic workflows and precision medicine applications.

💻 Bioinformatics Teams

Benchmarking performance against existing genomic pipelines.

🎓 Academic Institutions

Teaching computational genomics and bioinformatics courses.

🛠️ Developers

Building on genomic infrastructure and creating new analysis tools.

🌍 Global Health

Resource-limited settings needing accessible genomic analysis.

🎁 Free Access Programs

1️⃣ First 100 Labs

Free pilot access in exchange for testimonial/feedback. Help shape the future of genomic analysis.

2️⃣ Lifetime License Draw

3 lifetime licenses randomly awarded weekly to users who provide feedback on their experience.

3️⃣ Academic/Non-Profit

Educational licenses available on request for teaching and non-commercial research.

⚡ Why SeqSwift?

🚀 Speed Without Compromise

  • Sub-millisecond analysis on consumer hardware
  • No GPU required
  • No cloud dependencies
  • No Docker containers
  • Runs on $300 Chromebook

🔒 Privacy-First Architecture

  • Your data never leaves your machine
  • No telemetry
  • No phone-home
  • No accounts required
  • Encrypted pilots protect IP

✅ Production-Ready

  • Full pipeline in <9 seconds
  • Battle-tested on clinical datasets
  • Patent-pending (63/187,188)
  • Verified on multiple platforms

🔬 Technical Details

System Requirements

  • OS: Linux, macOS, ChromeOS, Windows (WSL)
  • RAM: 512 MB minimum (489 MB peak tested)
  • Storage: <100 MB per pilot (739 MB for GRCh38)
  • CPU: Any modern processor (no GPU required)

Input/Output Formats

Input:

  • FASTA
  • FASTQ
  • VCF
  • Custom reports

🚨 Limited Availability

Only 12 decryption passphrases will be issued in 2025.

This scarcity protects our patent-pending technology while we finalize commercial licensing.

Why So Few?

📧 Get Started

Ready to evaluate SeqSwift?

Request Passphrase

Questions? Partnerships? Custom panels?
We're building in public and love hearing from the community.

👨‍⚕️ About the Founder

SeqSwift is built by Dave Schliemann, MD – a fourth-year international medical graduate completing clinical training in the United States.

During a recent family-medicine clerkship, the young daughter of his preceptor – a little girl he and the team cared for together in clinic – died of an overwhelming infection that rapid diagnostics might have caught sooner. At the same time, several close friends and former colleagues from Kenya lost patients and family members to late-diagnosed sepsis and resistant pathogens.

Those two losses made the mission personal: no child, anywhere, should die because a genomic result took days instead of seconds.

Self-taught in systems programming (MIT 6.001 via MITx), with prior contributions to the Journal of Visualized Experiments (JoVE) and technology analysis at Forrester Research in Cambridge, he moved to Atlanta in 2024 to build SeqSwift – sub-second, bedside-ready sequencing that runs on a $140.00 edge device, in a Level-I trauma bay or a rural Kenyan ward.

No big lab. No big budget.
Just code that refuses to let the next child wait.

🌐 Links

Website: seqswift.com
Main Repo: SeqSwift-LiteSpeed
X/Twitter: @schlayguy
Contact: license@seqswift.com