What you receive
- Workflow and bottleneck review
- Input validation and failure handling
- Reusable scripts with configuration
- Representative checks and documentation
- Handover and maintenance scope
Research & bioinformatics
Repeating the same data task by hand?
Pay only after you receive the analysis.
Payment is due after delivery of the agreed analysis.
We scope scripts around a documented input/output contract, so recurring data work can be repeated and checked.
Python for research automation
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_Metagenome 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 recurring research task needs a reliable script?
Bring these inputs to scoping
- A representative non-sensitive input, an expected output and a description of each transformation.
- File formats, anticipated scale, operating environment and dependencies.
- Examples of malformed inputs, validation rules and the rerun or handover requirements.
Prerequisites and interpretation limits
A local script is not automatically a production pipeline. Workflow frameworks, scheduling, deployment, monitoring and long-term maintenance require separate capability and scope review.
When do I pay?
You pay only after you receive the agreed analysis. Deliverables and pricing are agreed before work begins.