AMS Bioinformatics LLC connects rigorous bioinformatics, data science and scientific software to help research teams explore the biology behind disease.
From raw sequencing data to computational models and reproducible software, our service areas support exploratory research and scientific decision-making.
Sequencing workflows for the discovery and characterization of genetic variation in cancer and other biological research.
Turn gene-expression measurements into interpretable molecular patterns, with attention to statistical design and technical variation.
Combine complementary molecular data layers to investigate disease biology, pathways and research hypotheses.
Develop and assess interpretable computational models for complex biological datasets without overclaiming predictive performance.
Explore relationships between sequence features, gene regulation and biological function using computational approaches.
Support early-stage, hypothesis-generating discovery with molecular modeling and transparent computational assessments.
Build maintainable research tools that make analyses easier to reproduce, inspect and share across teams.
Plan computational approaches for data-intensive research, considering cost, reproducibility and practical deployment needs.
Translate scientific questions into feasible analysis plans and assess tools for research teams.
Services are scoped to each project, available data, and research requirements. Computational findings require appropriate independent validation before clinical, regulatory or therapeutic use.
We bring computational rigor to challenging research questions, emphasizing quality controls, transparent assumptions and handoffs that researchers can actually use.
How we approach projectsTraceable processing, normalization choices and quality checks.
Clear methods, evidence, assumptions and limitations.
Shareable code, documentation and practical research outputs.
An emerging research software concept for exploring cancer multi-omics data, molecular subtypes and testable biological hypotheses.
Our initial development direction focuses on breast cancer research, combining gene expression and copy-number information with molecular subtype annotations to support transparent, reproducible exploratory analysis.
CancerAI is a prototype-stage initiative. The research workflow is under development and has not been validated for clinical applications, biomarker confirmation, or treatment selection.
Explore research collaborationWhether you need focused consultation or a custom computational workflow, the engagement begins with a clear scientific objective.
Clarify the research objective, data types, constraints, milestones and appropriate success criteria.
Review provenance, quality, experimental design, normalization and limitations before modeling.
Build transparent computational workflows, compare methods and document key decisions.
Provide agreed reports, code, figures and documentation that support further research.
DATA · DISCOVERY · HEALTHIER TOMORROW
AMS Bioinformatics LLC is a California-based business focused on bioinformatics consulting, scientific computing and computational biology research and development.
Our direction combines research services with the development of reproducible software products. CancerAI is our early-stage initiative exploring how data integration and computational tools can support cancer research.
Los Angeles, California
Let's discuss your research goals, datasets and what a thoughtful analysis or software collaboration could look like.
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