Cloud-Based Bioinformatics Platforms for Scalable, Secure Research
Run complex bioinformatics workflows anytime, anywhere—no local servers, no bottlenecks. Just elastic computing, global collaboration, and reproducible science.
Core Components
Hardware
Elastic Compute Resources (CPU/GPU/FPGA)
Cloud-hosted scalable processing environments supporting high-throughput genomic pipelines, including real-time analytics, sequence alignment, variant calling, and AI/ML model execution.
Cloud-Native Workflow Engines (CWL, WDL, Nextflow)
Distributed execution engines designed for reproducible and portable genomics workflows. These orchestrate data pipelines across multiple compute nodes using standards like Common Workflow Language (CWL), Workflow Description Language (WDL), or Nextflow.
Object Storage Integration (S3, GCS, Azure Blob)
High-throughput storage systems for raw and processed omics data such as FASTQ, BAM, VCF, and HDF5. Enables seamless access and archiving for scalable analysis.
Software
Cloud-Native Workflow Engines
CWL, WDL, and Nextflow-enabled execution environments
Elastic Compute Resources
Auto-scaling for CPU/GPU-intensive tasks
Object Storage Integration
Direct access to genomics data lakes (FASTQ, BAM, VCF, etc.)
Integrations & Ecosystem Compatibility
Public & Private Cloud Support
Deployable on AWS, Azure, GCP, or hybrid environments
Integrations & Ecosystem Compatibility
Data Repositories Integration
Compatible with GEO, dbGaP, PRIDE, and institutional storage
Jupyter & RStudio Environments
Interactive notebooks for exploratory data science
Visualization Libraries
Heatmaps, genome browsers, pathway maps, and PCA plots
Electronic Lab Notebooks (ELNs)
Capture experiment metadata alongside analysis
Cloud
- User-Friendly Web Portals – Launch and monitor pipelines through intuitive dashboards
- Identity and Access Management (IAM) – Secure multi-user access with fine-grained permissions
Key Features
- Scalable execution of workflows for genomics, transcriptomics, proteomics, and metagenomics
- Prebuilt and custom containers for tools like GATK, STAR, Bowtie2, BLAST, MaxQuant, and more
- Workflow provenance tracking and reproducibility logs
- Seamless integration with DRS, GA4GH, and dockstore-compliant resources
- Cost optimization tools and usage analytics
Applications & Use Cases
- Clinical Genomics Pipelines – Automating variant calling, annotation, and reporting at scale
- Proteogenomics Research – Combining MS/MS and RNA-seq data in distributed cloud workflows
- Biotech R&D – Cloud-based multi-omics platforms for rapid biomarker and drug target discovery
- Population Genomics – Distributed computing for national cohort data (e.g., 100K Genomes)
- Collaborative Data Science – Real-time team analysis across institutions and geographies
Regulatory & Technical Standards
Our systems align with:
- GA4GH Frameworks – Implements standards like DRS, WES, TES, and TRS
- BCO & CWL Support – Reproducible pipelines with machine-readable descriptions
- FedRAMP / HIPAA / ISO 27001 Ready – Secure environments for regulated biomedical data
- NIH STRIDES-Compatible – Eligible for US government-funded cloud genomics projects
Case Studies
San Diego, USA
Biotech firm used Bioinformatics Digital’s cloud platform to run 500+ RNA-seq pipelines per day with real-time dashboards.
Chicago, USA
Research hospital adopted the system for a cloud-first clinical genomics workflow—reducing analysis time by 80%.
Vancouver, Canada
Public health lab scaled up SARS-CoV-2 variant surveillance using Nextflow pipelines and AWS Fargate integration.
Ready to run large-scale bioinformatics in the cloud?
Contact us experts to customize your cloud bioinformatics environment.
