Analytical services for biological research.

Scientific analysis

Analytical support

Computational analysis for biological research, with current work focused on single-cell, spatial, and multi-omics studies. Engagements are shaped by the biological question and the evidence needed to answer it.

Reproducible analyses, figures prepared for publication, technical reports, and documented methods.

Analytical methods

Computational method development

Develop or adapt computational approaches for specialized biological and analytical questions. Work may range from modifying an established method for a new assay or dataset to developing a statistical model, classifier, scoring method, or other analytical procedure. Feasibility, evidence requirements, validation needs, and an appropriate collaboration model are defined before work begins.

Feasibility assessments, method specifications, research prototypes, tested implementations, validation plans, documented software, and technical reports, depending on scope and maturity.

Method evaluation

Method evaluation and benchmarking

Compare plausible computational approaches under defined conditions and examine how method choices affect the results, limitations, and conclusions.

Benchmark designs, performance metrics, controlled method comparisons, technical evaluation reports, documented results, and risk or limitation assessments.

Supporting engineering

Reproducible analysis workflows

Develop exploratory analyses and existing pipelines into reproducible workflows that can be reviewed, maintained, and extended.

Workflow architecture, implementation, provenance design, workflow documentation, and operating guidance.

Computational constraints

Performance and research infrastructure

Address computational constraints that limit scientific iteration, reproducibility, cost, or dependable operation.

Performance profiles, infrastructure recommendations, implementation changes, and reproducible environments.

Collaborative research

Research planning and grant proposal support

Support biological studies and collaborative grant proposals through analytical aims, feasibility assessment, study design, method selection, and reproducible implementation plans.

Analytical aims, computational methods sections, analysis and reproducibility plans, feasibility assessments, supporting figures, and preliminary analyses where appropriate.