What you receive
- Data dictionary and quality checks
- Exploratory analysis and missingness review
- Statistical model matched to study design
- Sensitivity checks and interpretation
- Code, figures and a limitations report
Research & bioinformatics
Your dataset is ready. Is the analysis design?
Pay only after you receive the analysis.
Payment is due after delivery of the agreed analysis.
We review requests to clean, explore and model data in Python or R, with clear assumptions and reproducible outputs.
Scientific data analysis
How the work happens
- Review your question and inputs without collecting confidential files in the inquiry form.
- Agree methods, deliverables, compute, revisions and acceptance checks in writing.
- After feasibility is confirmed, run the agreed workflow with recorded versions and input provenance.
- Review outputs, explain limitations and hand over agreed materials.
Feasibility comes first.
Describe your assay, inputs and study design. Supported methods, tools and delivery capacity are confirmed during review; the items below are possible scope elements, not a commitment to accept every dataset.
Scope before a price.
A focused review, complete analytical workflow and custom computational project have different requirements. Sample count, assay, reference quality, compute, urgency and interpretation affect the scope. Request an itemized quote; prices and timelines are agreed after assessment.
Analysis cannot guarantee publication, statistical significance or biological validation.
Explore the methods.
The MD_RNAseq repository provides source-level context. Published files are not a claim of a client’s endorsement or permission for reuse. See our methods and project index for evidence and limitations.
Common questions
Can I inquire before my data are ready?
Yes. Choose your current stage and describe the study question. Feasibility and planning can be scoped separately.
Do I need to upload my dataset?
No. Do not send confidential or participant data through the inquiry form. Any transfer is agreed through an appropriate secure route.
What affects cost and turnaround?
Data quality and scale, study design, reference resources, compute, deliverables and revisions. We confirm an agreed scope rather than promising a fixed deadline from a short form.
You do the research. We help your data speak.
Which comparison can your study design support?
Bring these inputs to scoping
- A data dictionary with units, variable types, missing-value codes and experimental units.
- Study groups, biological versus technical replicates, repeated measurements, exclusions and intended comparisons.
- Existing summaries and the provenance of derived variables; use non-sensitive examples during initial review.
Prerequisites and interpretation limits
Models require suitable observations and assumptions. Association alone does not establish causation. Small samples, multiplicity and selection can constrain inference; report effect sizes and uncertainty where appropriate.
When do I pay?
You pay only after you receive the agreed analysis. Deliverables and pricing are agreed before work begins.