Bioinformatics Engineering

Genomics Pipeline V2

Nextflow Kubernetes Python AWS Batch

An enterprise-grade orchestration layer for massive-scale DNA sequencing, reducing processing time by 60% while maintaining clinical-grade reproducibility.

The Clinical Challenge

In modern oncology, speed is survival. Legacy pipelines often took 72+ hours to process a single whole-genome sequence, causing critical delays in therapeutic decision-making for late-stage patients.

Furthermore, inconsistent cloud environments led to "reproducibility drift," where the same data could yield slightly different results across different compute clusters.

Architectural Breakthrough

V2 utilizes a containerized micro-service architecture that splits sequencing data into parallelized shards. By leveraging Nextflow for workflow management and custom Kubernetes operators, we achieved deterministic scaling.

12ms Task Latency
99.9% Reproducibility Score

Development Journey

Phase 01

Conception & Benchmarking

Analyzing bottlenecks in existing GATK workflows and defining the V2 spec for sub-24h processing.

MARCH 2023
JUNE 2023
Phase 02

Kubernetes Integration

Migrating from static VM clusters to dynamic K8s sharding for optimized resource allocation.

Phase 03

Validation Trials

Benchmarking against 1,000+ public datasets to ensure zero variance in variant calling.

OCTOBER 2023
JANUARY 2024
Phase 04

Full Deployment

Production release to clinical partner labs across North America and Europe.

database
Hybrid Storage

Intelligent tiering between S3 and FSx for Lustre to balance cost and ultra-low latency data access during high-compute phases.

terminal
CLI Dashboard

A custom Golang-based terminal interface for real-time monitoring of thousands of concurrent pipeline runs.

security
HIPAA Compliance

End-to-end encryption using AWS KMS and rigorous IAM policies ensuring patient data security at every pipeline stage.

Explore the Research

Full whitepaper and technical documentation available.