Fixed-Price Bioinformatics Services
Choose a fixed-price package for your dataset
Move from raw or processed data to clean, interpretable results with standardized packages for RNA-seq, single-cell, spatial transcriptomics, genomics, GWAS, somatic mutation calling, and ChIP-seq.
Fixed-price projects are designed for common bioinformatics workflows with standard inputs, clear comparisons, and agreed deliverables. If your study needs deeper customization, we can scope add-ons or recommend a custom engagement.
Best for well-defined projects
Fixed-price packages work best when the dataset type, sample count, comparison structure, and expected outputs can be confirmed before work begins.
- Clear project scope before analysis starts
- Standard QC, analysis outputs, plots, and concise reporting
- Optional add-ons for deeper interpretation or custom analyses
Included in every engagement: senior PhD-level bioinformatics support, reproducible workflows, analysis-ready outputs, and clear communication about scope.
Fixed-price packages
Each package includes a defined analysis scope, standard deliverables, and a concise written summary. Expanded comparisons, custom methods, or deeper biological interpretation can be scoped separately.
Transcriptomics
Bulk RNA-seq Analysis
For up to 30 samples, including QC, alignment or quantification, normalization, differential expression, standard enrichment analysis, and a short written summary.
Common outputs: QC summaries, normalized expression tables, differential expression tables, enrichment results, PCA, volcano plots, and heatmaps.
Single-cell
Single-Cell RNA-seq Initial Analysis
A first-pass scRNA-seq package covering preprocessing, cell-level QC, normalization, clustering, marker identification, broad annotation, and standard visual summaries.
Common outputs: processed object, cluster markers, annotation table, UMAP or t-SNE plots, QC plots, and marker plots.
Spatial
Spatial Transcriptomics Starter Package
Starter analysis for spatial transcriptomics datasets, including QC, normalization, clustering, spatial cluster visualization, selected marker plots, and initial annotation support.
Common outputs: processed spatial object, cluster tables, annotation tables, spatial maps, feature plots, and a short report.
Genomics
WES / WGS Analysis
Standard whole-exome or whole-genome analysis for QC, alignment when needed, small variant calling, annotation, filtering, prioritization, and summary reporting.
Common outputs: QC summary, BAM files when needed, VCFs, annotated candidate variant tables, and summary metrics and plots.
Genetics
Basic GWAS + QC
Standard GWAS workflow for sample and variant QC, population structure assessment, one primary association analysis, clumping, and core GWAS visualizations.
Common outputs: QC summary, association tables, clumped top results, PCA plots, Manhattan plot, QQ plot, and a short report.
Cancer genomics
Tumor-Normal Somatic Mutation Calling
Paired tumor-normal SNV and indel calling using a standard workflow, with QC, filtering, annotation, mutation summary metrics, plots, and a report.
Common outputs: somatic VCF, annotated somatic variant table, mutation metrics, summary plots, and short reporting.
Epigenomics
ChIP-seq QC and Peak Calling
Standard ChIP-seq package for input review, QC, preprocessing or alignment review, peak calling, peak annotation, summary metrics, and reporting.
Common outputs: QC summary, peak files, peak annotation tables, standard metrics, summary plots, and a short report.
Custom add-ons
Need more than the standard package?
Add-ons can be scoped for deeper biological interpretation, additional comparisons, advanced modeling, integration across modalities, or custom reporting.
Examples: trajectory analysis, cell-cell communication, differential binding, CNV analysis, mutational signatures, fine mapping, PRS, and custom databases.
Before we quote
We confirm the dataset type, sample count, file formats, metadata structure, and the exact comparison you want answered.
That lets us recommend the right package and flag any work that should be scoped separately instead of being forced into a flat-rate box.
Get project details
Want more information on one or more packages?
Enter your email and select the projects you want details on.
How fixed-price projects work
We confirm that the dataset and project goals fit the package, align on inputs and deliverables, and then complete the analysis using a reproducible workflow.
1
Confirm fit
We review your dataset type, sample count, input format, and primary analysis goals.
2
Finalize scope
We confirm what is included, what is out of scope, and whether any add-ons are needed.
3
Run analysis
Your project is completed by an experienced bioinformatician using standard, reproducible workflows.
4
Deliver results
You receive analysis outputs, standard plots, and a concise written summary of the results.
What fixed price means
Fixed-price options are designed to make common bioinformatics analyses easier to buy, budget, and start. They work best when inputs are standard and the number of samples, comparisons, and deliverables are clearly defined.
Included by default
Standard QC, core analysis, standard plots, analysis tables, and a short written report.
Scoped separately
Additional comparisons, major metadata changes, advanced modeling, deep biological interpretation, custom databases, and extensive re-analysis.
Not sure where your project fits?
We can review your goals and recommend either a fixed-price package or a more flexible custom scope.
Frequently asked questions
A few common questions about using fixed-price bioinformatics packages.
Are these packages suitable for every project?
No. Fixed-price packages are best for well-defined projects with standard inputs and clear deliverables. Projects requiring custom methods, extensive interpretation, or iterative discovery are usually better suited to a custom scope.
Can you start from raw sequencing files?
Yes. Several packages can start from FASTQ files when raw-data processing is included in scope. In other cases, starting from count matrices, objects, BAM or CRAM, or VCF files may affect scope and pricing.
Can we add extra comparisons or analyses?
Yes. Additional comparisons, custom analyses, and deeper interpretation can be added as separately scoped work.
What happens if our metadata changes after the analysis starts?
Metadata changes can require re-analysis and are typically scoped separately if they fall outside the agreed package.
Ready to see whether your project fits a fixed-price package?
Tell us about your dataset, sample count, input files, and analysis goals. We will identify the best package or recommend a custom scope if your project needs something more tailored.