Data waiting for analysis
Start with your biological question, study design and the files you have. We review what can be answered.
For scientists · PIs · assistant professors · PhD scholars
Bioinformatics and scientific data analysis for busy research labs.
Pay only after you receive the analysis.
Payment is due after delivery of the agreed analysis.
Stay focused on your experiments. Bring us your research question and dataset; discuss a scoped analysis, interpretable results and reproducible workflows.
Feasibility, supported methods, deliverables and timelines are agreed before work begins.
When the experiment is done, the analysis still needs a plan.
Results that need interpretation
Discuss unexplained plots, uncertain comparisons or reviewer requests, with assumptions and limitations made explicit.
A workflow to repeat
Scope documented scripts and a clear handover so your team can understand and revisit the work.
Choose a starting point.
These are requests we can review. Each project needs a feasibility assessment before methods or delivery are confirmed.
RNA-seq analysis services
We review feasibility and scope analysis around your biological question, study design and available reference. A count matrix alone cannot replace experimental context.
Metagenomics analysis services
Amplicon profiling and shotgun metagenomics answer different questions. We first review assay type, controls, metadata and reference coverage.
Bioinformatics consulting
Bring your research question, available data types and the decisions you need to make. We can scope a focused review or a complete computational workflow.
Scientific data analysis
We review requests to clean, explore and model data in Python or R, with clear assumptions and reproducible outputs.
Scientific figure preparation
We turn documented analysis outputs into readable scientific figures. Figure preparation does not change or manufacture the underlying evidence.
Python for research automation
We scope scripts around a documented input/output contract, so recurring data work can be repeated and checked.
Client research work previews
RNA-seq analysis
Explore the existing transcriptomic analysis dashboard.
Shruti — de novo RNA-seq
Explore the existing de novo transcriptome analysis project.
Sahil — metagenomics
Explore the existing environmental metabarcoding project.
What a scoped handover can contain.
Quality and provenance
Input inventory, sample and metadata checks, QC summary and exclusions with reasons.
Results and interpretation
Analysis tables, readable figures, methods notes, assumptions and limits on what the data support.
Materials to revisit
Agreed scripts, configuration, software versions, reference identifiers and instructions for rerunning.
Exact contents, compute costs, code rights, revisions and support are written into your scope.
Inspect the deliverable example and research repositories →From question to handover.
- Feasibility review: describe your question and input stage without sending sensitive files.
- Written scope and quote: agree methods, outputs, costs, milestones and acceptance checks.
- Analysis checkpoints: review data quality, design choices and interpretation as agreed.
- Handover: receive the agreed outputs, documentation and support arrangements.
Practical questions before you begin.
What should I send first?
Your research question, assay or data type, approximate sample count, study groups and current stage. Do not upload participant identifiers or raw confidential data.
What will it cost, and how long will it take?
Input readiness, design, data scale, compute, interpretation and revision needs determine the quote and milestones. A short inquiry is enough to start the scope discussion.
Will the results be significant or publishable?
No analysis can promise significance, biological validation or publication. Conclusions must reflect study design, data quality and uncertainty.
How are data transfer and ownership handled?
Agree a suitable transfer method, access, data rights, code licensing and retention arrangements before sharing files. The public inquiry form accepts no uploads.
Tell us where your analysis stands.
Start with a short question. No dataset upload is needed.
Discuss my dataset →When do I pay?
You pay only after you receive the agreed analysis. Deliverables and pricing are agreed before work begins.
Send Us Your Requirements
Tell us about your research question and dataset. Do not include confidential records.