Basepair vs Pepkio: Bioinformatics Service Comparison
Evaluating Pepkio vs Basepair comes down to whether your lab needs self-service cloud software to run automated pipelines or an outsourced contract research organization (CRO) to handle the complete analytical workflow. Basepair provides a web-based graphical interface and API platform that allows researchers to execute standard next-generation sequencing (NGS) workflows, such as [bulk RNA-seq](/services/rna-seq), ChIP-seq, and variant calling. Bench scientists manage their own sample metadata, statistical study design, quality control evaluation, and figure generation on Basepair. Pepkio operates as a full-service bioinformatics CRO where bioinformaticians perform custom statistical modeling, resolve complex batch effects, write custom script archives, and produce publication-ready figure panels. Basepair suits labs analyzing standard model organisms with internal time to execute workflows, while Pepkio fits projects requiring custom contrast matrices, non-model organism handling, or turnkey publication deliverables.
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Quick Comparison Table
| Feature | Pepkio (Outsourced CRO) | Basepair (DIY SaaS) |
|---|---|---|
| Primary model | Full-service bioinformatics CRO | Self-service cloud SaaS platform |
| Supported analyses | Custom bulk RNA-seq, single-cell RNA-seq, DNA-seq, epigenomics, non-model organisms, de novo assembly, bespoke multi-omics | Pre-configured workflows for bulk RNA-seq, single-cell RNA-seq, WGS/WES variant calling, ChIP-seq, ATAC-seq, miRNA-seq, Methyl-seq |
| Bioinformatics skills required | None (handled end-to-end by CRO bioinformaticians) | Low for GUI workflows; moderate for custom Nextflow or WDL pipelines |
| Infrastructure requirements | None | Web browser for GUI; AWS account for Connected Cloud (BYOC) |
| Turnaround time | 1–3 weeks for interpreted reports, figures, and Methods | Compute finishes in hours; setup takes minutes to hours |
| Statistical customization | Bespoke linear models, custom filtering, and complex contrast matrices | Standard GUI parameter toggles; custom logic requires Nextflow or WDL development |
| Reproducibility deliverables | Custom R and Python code archives, Methods text, optional Nextflow or Snakemake workflows and Conda or Docker environments | Automated cloud lineage graphs, execution logs, and exportable Nextflow or WDL files |
| Code deliverables | Documented custom R/Python analysis scripts | Raw execution logs and exportable workflow files |
| Publication figure support | Custom multi-panel figures formatted to target journal specifications | Interactive web plots with SVG, PDF, and PNG export |
| Reviewer-response support | Direct scientist-to-scientist re-analysis, custom text, and figure updates | Self-service re-analysis and offline scripting by the researcher |
| Pricing structure | Fixed project-based fee | Subscription or pay-as-you-go per sample (+ AWS compute/storage under BYOC) |
| Lab personnel effort | Minimal hands-on analysis time | 1–3 hours per standard run; additional hours for cloud setup or custom pipelines |
What Is Basepair?
Basepair is a cloud-native software platform that provides point-and-click graphical, command-line, and API interfaces to automate NGS data processing. It functions as a workflow manager and interactive visualization system available through pay-as-you-go pricing or annual subscription tiers.
The platform supports standard NGS workflows, including bulk RNA-seq using tools like STAR and DESeq2, single-cell RNA-seq using Cell Ranger and Seurat, DNA-seq variant calling accelerated by NVIDIA Parabricks, and epigenomics pipelines such as MACS2 peak calling. Users launch analyses via a web GUI or programmatically using the Python SDK (pip install basepair) and REST API. Compute execution runs on managed cloud infrastructure or inside a customer's AWS environment using the Connected Cloud model.
What Is Pepkio?
Pepkio provides an outsourced bioinformatics CRO service that manages sequencing data analysis from raw files to final publication assets. Instead of requiring researchers to configure software parameters, Pepkio assigns experienced bioinformaticians to execute the project.
Pepkio delivers custom statistical tables, tailored multi-panel figures, written Materials & Methods text, and documented R or Python script archives. Nextflow or Snakemake workflows and Conda or Docker environments are available as optional deliverables. The service operates under a fixed project fee, providing scientist-to-scientist support through peer review.
Pepkio vs Basepair Key Differences
Setup and Infrastructure
Basepair GUI requires no local installation beyond a web browser, taking 10 to 15 minutes to register and launch pre-built workflows. Setting up the Connected Cloud model to run within an institution's AWS perimeter requires 1 to 3 hours of IT administration to configure IAM roles and CloudFormation templates. Pepkio requires no software installation or cloud configuration, as the CRO team manages all compute and storage resources.
Customization and Analytical Depth
Basepair handles standard model organism datasets using built-in pipelines and GUI parameter adjustments. Implementing non-standard statistical designs, unannotated genomes, or custom filtering on Basepair requires developing custom Nextflow or WDL pipelines. Pepkio provides bespoke analytical customization for every project, building custom reference indexes, modeling complex batch effects, and creating custom contrast matrices.
Turnaround Time and Workload
Basepair completes pipeline execution in hours on scalable cloud hardware. However, researchers must dedicate time to evaluate quality control metrics, inspect differential expression tables, check statistical assumptions, and format raw plots into manuscript panels. Pepkio delivers complete analytical packages in 1 to 3 weeks, including validated statistical outputs, formatted figure panels, and written analytical summaries.
Reproducibility and Deliverables
Basepair tracks execution parameters, sample metadata, and container lineage graphs, allowing users to export CLI logs and Nextflow or WDL workflow definitions. Pepkio provides documented R and Python scripts along with raw and processed data matrices and written Materials & Methods text ready for journal submission. Nextflow or Snakemake workflows and Conda or Docker containers are optional additions depending on project needs.
Cost Structure
Basepair charges pay-as-you-go per-sample fees or subscription licenses. When using the Connected Cloud model, AWS compute, S3 storage, and data egress fees are billed separately by AWS alongside the Basepair license. Pepkio charges a single fixed project fee that covers compute, storage, analytical labor, and re-analysis support.
Scientific Support and Peer Review
Basepair provides commercial email support, ticketing, and online documentation. If samples show unexpected batch effects or poor quality metrics, researchers perform their own troubleshooting and offline re-analysis. Pepkio pairs projects with bioinformaticians who troubleshoot sample anomalies, adjust statistical models, format journal-specific figures, and draft text responses during peer review.
When Should You Choose Pepkio?
Outsourcing your analysis to Pepkio fits projects that require bespoke statistical modeling, non-model organism assembly, or turnkey manuscript deliverables.
- Complex experimental designs: Your study involves nested batch effects, custom contrast matrices, or multi-omics integration.
- Non-model organisms: Your dataset relies on species without reference genome annotations, requiring custom indexing or de novo assembly.
- Turnkey manuscript assets: You require publication-ready multi-panel figures, written Materials & Methods text, and documented R or Python code.
- Peer-review assistance: You want bioinformaticians to perform re-analyses and help draft responses to reviewer comments.
- No internal bioinformatics capacity: Your lab prefers a fixed service fee over managing pipeline software and cloud infrastructure.
When Should You Choose Basepair?
Choosing Basepair fits research teams with standard model organism data who prefer to run pipelines independently through a web interface or API.
- Standard NGS workflows: Your project uses established pipelines for bulk RNA-seq, single-cell RNA-seq, ChIP-seq, ATAC-seq, or variant calling.
- Existing AWS infrastructure: Your institution requires data to remain inside a private AWS perimeter using the Connected Cloud model.
- Self-service facility portals: You want to provide bench scientists or clients with a point-and-click portal to run standard pipelines.
- GPU-accelerated variant calling: You require fast secondary analysis for WGS or WES using NVIDIA Parabricks.
- Programmatic execution: You want to integrate pipeline runs into custom software using a Python SDK or REST API.
Trade-Offs at a Glance
Selecting between in-house cloud software and an outsourced CRO requires balancing per-sample software pricing against dedicated bioinformatics labor and publication support.
- Basepair:
- Strengths: Fast cloud compute execution; intuitive web GUI for non-coders; Python SDK and REST API access; secure AWS Connected Cloud integration.
- Considerations: Researchers must perform statistical validation, quality assurance, and figure design; custom pipelines require Nextflow or WDL development; separate AWS compute charges apply under Connected Cloud.
- Pepkio:
- Strengths: Zero hands-on labor for lab personnel; bioinformaticians handle complex experimental designs; turnkey figures, Methods text, and reviewer support; full custom R and Python code provided.
- Considerations: Turnaround takes 1 to 3 weeks rather than automated execution in hours; higher per-project cost compared to self-service software licenses.
Frequently Asked Questions
What is the main difference between Pepkio and Basepair?
Basepair is a self-service cloud SaaS platform that provides software for researchers to run standard NGS pipelines themselves. Pepkio is an outsourced bioinformatics CRO where bioinformaticians execute the complete analysis, perform custom statistical modeling, generate publication figures, and write manuscript text.
Do I need programming skills to use Basepair?
No, Basepair provides a web-based GUI that lets bench scientists run standard pipelines for RNA-seq or variant calling using point-and-click controls. However, building custom pipelines or non-standard statistical filters requires command-line scripting with Nextflow or WDL.
Do I get the underlying analysis scripts from Pepkio and Basepair?
Yes, both platforms provide access to workflow logic. Basepair allows users to inspect execution parameters and export Nextflow or WDL workflow definitions. Pepkio provides documented R and Python analysis scripts used for your project, with Nextflow or Snakemake workflows available as optional deliverables.
How long does an analysis take on Basepair compared to Pepkio?
Basepair executes cloud pipelines in hours, but researchers must then spend additional days or weeks evaluating quality control, adjusting parameters, and creating figures offline. Pepkio delivers a turnkey package—including statistical validation, publication figures, and written text—in 1 to 3 weeks.
How do Pepkio and Basepair handle non-model organisms?
Basepair's GUI includes pre-configured reference genomes for common model organisms, so analyzing non-model species requires uploading custom FASTA and GTF files or writing CLI pipeline definitions. Pepkio's bioinformaticians routinely handle non-model species by building custom reference indexes or performing de novo assembly as part of the service.
What happens if peer reviewers request a new statistical contrast?
On Basepair, your team must log into the platform, update workflow parameters, re-run the pipeline, or perform offline scripting in R or Python. With Pepkio, bioinformaticians handle reviewer requests directly by executing new contrasts, updating figure panels, and writing response text.
How does the cost compare between self-service software and an outsourced CRO?
Basepair charges a software license fee per sample or annual subscription, plus variable AWS compute and storage costs when using Connected Cloud. Pepkio charges a transparent, fixed project fee that covers compute, storage, bioinformatician labor, figure creation, and reviewer support without extra licensing costs.
Can Basepair run inside an existing AWS cloud environment?
Yes, Basepair offers a Connected Cloud model that uses AWS CloudFormation templates and IAM roles to run compute and store data inside an organization's AWS S3 buckets. This configuration allows institutions to use existing cloud credits while meeting internal data compliance policies.
Does Basepair or Pepkio write the Materials & Methods section for publication?
Basepair provides software execution logs and parameter summaries, but does not write manuscript text. Pepkio provides a publication-ready Materials & Methods section tailored to target journal reporting standards alongside the final results.
Bottom Line
The choice in Pepkio vs Basepair comes down to whether your team prefers self-service cloud software execution or complete analytical delivery from a CRO.
If your lab analyzes standard model organism datasets and has the time to evaluate quality control, perform statistical design, and create manuscript figures, Basepair provides an efficient DIY software platform. If your study involves non-model species, complex experimental designs, or if your team wants to delegate analysis, code generation, and manuscript drafting to experienced bioinformaticians, Pepkio offers a complete CRO service.
Want expert help applying this? Learn about our bioinformatics CRO.