Our Services

Genomic Data Analysis

We provide comprehensive analysis of genomic and transcriptomic data from all major sequencing platforms and data types.

• Whole Genome Sequencing (WGS) and Whole Exome Sequencing (WES) analysis
• Transcriptomics and RNA-seq analysis
• Variant calling, annotation, and interpretation
• Long-read sequencing (Nanopore, PacBio) analysis
• Multi-sample harmonization and quality control
• Clinical and research data integration

Bioinformatics & Reproducible Workflows

Custom, reproducible bioinformatics pipelines tailored to your research questions and data types.

• Workflow development using Nextflow, WDL, and Snakemake
• Integration of standard tools: GATK, DRAGEN, samtools, bcftools, VEP, Picard, and more
• Container-based deployment (Docker, Singularity/Apptainer)
• Pipeline validation and quality control
• Documentation and knowledge transfer
• Workflow orchestration with Cromwell, Nextflow Tower, or Argo

Research Data Engineering

Build robust, scalable data platforms and infrastructure for biomedical research.

• Genomic data storage and retrieval architectures
• Metadata systems and data harmonization
• Data access control and governance
• ETL and data integration pipelines
• Large-scale data harmonization across studies
• Research data platform design and implementation

Data Management & Sharing

Operationalize data-management and sharing requirements for biomedical research datasets, from curation through repository preparation.

• Data curation and organization
• Metadata development and standardization
• Community-standard formatting and harmonization
• Supporting documentation
• De-identification workflows
• Repository preparation
• Data integrity and validation

This includes support for projects subject to funder data-management and sharing requirements, such as NIH DMS plans.

Cloud & Scientific Infrastructure

AWS and GCP infrastructure design, implementation, and management for research environments.

• Terraform-based infrastructure as code
• AWS and GCP account architecture and security
• S3/GCS data lakes and data warehousing (Athena, BigQuery)
• Container orchestration: ECS, Kubernetes, Argo
• Compute platforms: AWS Batch, Kubernetes, Slurm
• IAM, VPC, and network architecture
• Cost optimization and monitoring

Scientific Software

Development of reproducible, production-grade software tools for biomedical research.

• Custom tool development in Python, R, Rust, or Go
• Containerization and distribution
• CLI tool design and implementation
• Testing, validation, and documentation
• Integration with research platforms and workflows

Technical Consulting

Strategic guidance and expertise for complex computational and data challenges.

• Architecture design and evaluation
• Technology selection and assessment
• Technical leadership and hands-on implementation
• Reproducible research infrastructure
• Bioinformatics best practices
• Research computing strategy