Bioinformatics Analysis
RNA-seq, single-cell, variant, and related omics workflows with emphasis on QC, provenance, and reviewable results.
Portland, Oregon | Bioinformatics and research informatics
Genomic data analysis built for reproducible science.
Northwest Genome Analytics supports research teams with computational genomics, workflow automation, quality control, and clear analysis deliverables.
Focus
Practical genomics support from raw data to defensible outputs.
The work sits at the intersection of biology, statistics, workflow engineering, and research operations: clean pipelines, traceable analysis, and outputs that collaborators can inspect, reproduce, and use.
Capabilities
Services for genomics-heavy research programs
Computational Genomics
Custom analysis plans, experimental design support, data interpretation, and research-ready reporting.
Workflow Automation
Reproducible pipelines, scripted analysis, container-aware workflows, and documentation for repeated execution.
Cloud and HPC Support
Practical support for scaling genomics workflows across local, cloud, and high-performance computing environments.
Scientific Consulting
Project scoping, technical review, methods comparison, troubleshooting, and collaborator-facing analysis summaries.
Data Stewardship
Data intake triage, privacy-aware handling plans, metadata discipline, and clear separation of sensitive materials.
Approach
A clear path from question to analysis package
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01
Scope
Define the biological question, data type, constraints, deliverables, and review needs.
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02
Stabilize
Confirm data readiness, metadata, reference files, compute environment, and quality gates.
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03
Analyze
Run documented workflows with traceable parameters, QC checkpoints, and versioned outputs.
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04
Deliver
Provide concise findings, reproducible artifacts, and practical next-step recommendations.
Built for research settings
Methodical analysis, calm communication, and audit-friendly output practices.
Privacy-aware by default
No client data is accepted until classification, storage, and access rules are clear.
Flexible engagement model
Focused troubleshooting, pipeline buildout, analysis review, or ongoing research support.
Contact
Bring a genomics workflow, dataset, or research question.
Share the non-sensitive outline first: organism/system, assay type, project goal, current bottleneck, timeline, and whether any data-use restrictions apply.
Business email
[email protected]Please do not send PHI, CUI, controlled-access data, or client genomic data by email.