---
title: "Psomagen vs Pepkio: Bioinformatics Service Comparison"
contentType: "ARTICLE"
datePublished: "2026-08-20"
dateModified: "2026-08-20"
canonicalUrl: "/compare/pepkio-vs-psomagen"
---

# Psomagen vs Pepkio: Bioinformatics Service Comparison

The difference between Psomagen and Pepkio is whether your project needs wet-lab sample sequencing or dry-lab bioinformatics on files you already have. Psomagen processes physical tissue or extracted DNA/RNA at its US facility and returns FASTQ files, BAM/VCF outputs, and summary reports, but does not deliver raw execution scripts. Pepkio focuses on dry-lab bioinformatics for pre-existing FASTQ, BAM, or count files, delivering runnable R and Python scripts, editable vector figures, draft Methods text, and direct analyst collaboration. Choose Psomagen if you need sample extraction, library preparation, and high-throughput sequencing under one roof. Choose Pepkio if you already have sequencing data and need script-level reproducibility, custom workflows, and manuscript support.

## Quick Comparison Table

| Aspect | Pepkio | Psomagen |
| --- | --- | --- |
| Analysis types supported | Bulk [RNA-seq](/services/rna-seq), [single-cell RNA-seq](/services/single-cell), [spatial transcriptomics](/services/spatial-transcriptomics) (10x Visium/Visium HD), WGS/WES [variant calling](/services/variant-calling), [ChIP-seq](/services/chip-seq), [ATAC-seq](/services/atac-seq), [metagenomics](/services/metagenomics), [proteomics](/services/proteomics) | Bulk RNA-seq, single-cell transcriptomics (10x, Parse, Fluent), spatial transcriptomics (Visium, Visium HD, Xenium), WGS/WES, epigenomics (ATAC-seq, Methyl-seq, ChIP-seq), proteomics (Olink), microbiome (16S, shotgun) |
| Pipeline tools disclosed | Standard open-source tools (STAR, DESeq2, Seurat, MACS2, GATK); tool versions and command parameters documented in deliverables | Standard open-source tools (STAR, HISAT2, DESeq2, Seurat, MACS2, GATK, Aspect Weave, Fabric Genomics); software versions documented in project reports |
| Code & scripts delivered | Executable R and Python scripts; optional Nextflow or Snakemake workflows; optional Docker or Conda environment files | Summary reports (PDF/HTML), processed data tables, BAM/VCF files, count matrices, and raw FASTQ files; raw execution scripts or pipeline source code are not delivered |
| Reproducibility approach | Executable script handover, parameter logging, version-pinned environment files, and optional Docker or Conda containers | Managed cloud workflows, summary execution reports, QC logs, and data tables; workflow files and container recipes are not distributed |
| Publication-quality figures | High-resolution editable vector graphics (PDF, SVG) and raster formats (PNG, TIFF) | Static summary figures in reports (heatmaps, volcano plots, PCA, GO/KEGG) and interactive visualization via partner platforms |
| Methods-section support | Complete, manuscript-ready Methods section detailing tools, parameters, and reference builds | Structured methodology descriptions, software citations, and parameter summaries included in project reports |
| Reviewer-response support | Direct technical support from the lead computational biologist to answer journal reviewer questions and run requested re-analyses | Technical support to clarify pipeline parameters and report metrics upon request; written reviewer responses or free re-analyses are not standard policy |
| Turnaround time | 2–4 weeks for standard cohorts; 4–6 weeks for complex multi-contrast studies | 5–7 business days for FAST-track services; 1–3 weeks post-QC for standard NGS and bioinformatics |
| Direct analyst access | Direct contact and collaboration with the assigned senior computational biologist | Primary communication routed through an assigned Account Manager / Project Manager; technical calls arranged for custom scoping |
| Pricing transparency | Fixed-price project quotes scoped upfront | Quote-based pricing per sample or project; volume-based tiered discounts available |
| Data ownership & storage | 100% client ownership of data, code, figures, and IP; no download link expiration limits | Client owns physical sample data, raw files, and report outputs; internal pipeline software remains proprietary; download link availability is contract-dependent |
| Best suited for | Labs with raw data needing dry-lab analysis, code delivery, direct analyst collaboration, and manuscript support | Labs needing integrated wet-lab sample processing, high-throughput sequencing, multiomics technology access, and standard reporting |

## What Psomagen Does
Psomagen provides integrated wet-lab sequencing and secondary bioinformatics analysis from its CLIA-certified and CAP-accredited facilities in Rockville, Maryland. Researchers send physical samples, such as tissue, FFPE slides, blood, saliva, stool, cell pellets, or extracted nucleic acids, for processing. Sequencing and multiomics platforms include Illumina NovaSeq X Plus, PacBio Revio, Ultima Genomics UG 100, 10x Genomics Chromium X, 10x Visium HD, 10x Xenium In Situ, Parse Biosciences Evercode, Oxford Nanopore PromethION, and Olink Explore HT. Psomagen also accepts pre-existing FASTQ, BAM, VCF, or count matrix files for standalone dry-lab runs.

Their bioinformatics pipelines handle standard assays, including bulk RNA-seq, single-cell transcriptomics, single-cell ATAC-seq, spatial transcriptomics, WGS/WES variant calling, epigenomics, high-plex Olink proteomics, and 16S/shotgun metagenomics. Pipeline steps rely on established open-source utilities like STAR, HISAT2, BWA, DESeq2, edgeR, Cell Ranger, Seurat, MACS2, and GATK, alongside specialized platforms like Aspect Analytics Weave for spatial imaging and Fabric Genomics for clinical variant interpretation.

Supported organisms cover human, standard laboratory models, agricultural plants and livestock, bacteria, fungi, and viruses. Deliverables include raw FASTQ files, aligned BAM/CRAM files, variant VCFs, gene count tables, and structured PDF/HTML execution reports containing summary plots. For spatial transcriptomics, clients receive access to interactive web viewers via partner platforms. Psomagen operates under a contract research organization model and does not distribute raw execution scripts (R or Python), shell wrappers, Nextflow or Snakemake workflow files, or container environment recipes.

## What Pepkio Does
Pepkio provides dedicated dry-lab [bioinformatics](/services/rna-seq) analysis for research teams with pre-existing raw data files, such as FASTQ reads, aligned BAM files, or count matrices. Analysis capabilities cover [bulk RNA-seq](/services/rna-seq), [single-cell RNA-seq](/services/single-cell), [spatial transcriptomics](/services/spatial-transcriptomics) (10x Visium/Visium HD), WGS and WES [variant calling](/services/variant-calling), [ChIP-seq](/services/chip-seq), [ATAC-seq](/services/atac-seq), [metagenomics](/services/metagenomics), and [proteomics](/services/proteomics) across human, model organism, agricultural, and microbial datasets.

Workflows use standard open-source bioinformatic tools such as STAR, fastp, DESeq2, Seurat, MACS2, and GATK. Pepkio delivers executable R and Python scripts, command-line parameter logs, normalized expression tables, publication-ready editable vector figures (PDF, SVG), optional Nextflow or Snakemake workflow scripts, optional Docker or Conda container specifications, and a fully drafted Methods section formatted for journal submission.

Projects operate under a direct collaboration model. Researchers work directly with the senior computational biologist assigned to their project, which allows custom parameter adjustments, non-standard experimental designs, and post-delivery technical support when addressing journal reviewer comments.

## Head-to-Head Comparison

### How do analysis scope and organism support compare?
Psomagen covers physical sample processing, high-throughput sequencing, and secondary bioinformatics. Researchers send tissue, blood, FFPE sections, or extracted nucleic acids to Psomagen's Maryland laboratory for extraction, library preparation, and sequencing across short-read (Illumina, Ultima), long-read (PacBio Revio, Oxford Nanopore), spatial (10x Visium HD, Xenium), and proteomic (Olink) platforms. Psomagen also accepts pre-existing FASTQ, BAM, or VCF files for standalone dry-lab processing across human, model organism, agricultural, and microbial genomes.

Pepkio focuses on dry-lab computational analysis for existing data files. Workflows process FASTQ, BAM, VCF, or count tables across bulk RNA-seq, scRNA-seq, spatial transcriptomics, WGS/WES, ChIP-seq, ATAC-seq, metagenomics, and proteomics. Organisms supported include human, laboratory models, agricultural species, and microbes.

### How transparent are the bioinformatics pipelines?
Psomagen details software tools (such as STAR, HISAT2, DESeq2, Seurat, MACS2, and GATK), reference genome builds, alignment parameters, and sample QC metrics within final PDF and HTML summary reports. Software tool versions used during execution are documented in these reports. Because Psomagen runs standardized cloud workflows, clients do not receive raw execution scripts, command-line invocation logs, or pipeline source code.

Pepkio provides code-level transparency for computational steps. Deliverables include raw executable R and Python scripts, exact software tool versions, command-line parameter logs, and reference genome annotations used during execution.

### What code and deliverables are provided for reproducibility?
Psomagen delivers raw FASTQ files, aligned BAM/CRAM files, variant VCF files, count matrices, peak files, and summary HTML/PDF execution reports. Internal shell scripts, custom R or Python code, Nextflow or Snakemake workflow files, and container environment recipes remain internal and are not distributed to clients.

Pepkio delivers runnable R and Python code, version-pinned environment files, optional Nextflow or Snakemake workflow files, and optional Docker or Conda container specifications. Researchers can inspect, modify, or re-run the analysis on local workstations or institutional HPC clusters.

### What level of publication and reviewer-response support is included?
Psomagen provides structured methodology summaries, tool citations, parameter notes, and platform specifications in final project reports, which authors adapt into manuscript Methods sections. Standard reports include static figures (heatmaps, volcano plots, PCA, GO/KEGG charts), and spatial projects include access to interactive viewer platforms. Technical teams can clarify report metrics upon request, but written reviewer responses or complimentary re-analyses are not standard policy.

Pepkio drafts a manuscript-ready Methods section detailing software tools, parameters, and reference builds. Figures are delivered as high-resolution, editable vector files (PDF, SVG) alongside raster formats. The assigned senior computational biologist provides direct technical support to help address peer-reviewer comments and run requested re-analyses post-submission.

### How do turnaround times compare?
Psomagen offers expedited FAST-track service options (such as FAST-RNA or FAST-Meta) that deliver results in 5 to 7 business days post-QC approval. Standard NGS and bioinformatics projects take 1 to 3 weeks (typically 7 to 15+ business days), depending on sample batch size and assay complexity.

Pepkio operates on fixed dry-lab project schedules, completing standard cohort analyses in 2 to 4 weeks and complex multi-contrast studies in 4 to 6 weeks. This timeline accounts for custom script optimization, parameter refinement, and quality checks.

### How does communication work during a project?
Psomagen routes client communications, sample tracking, and report inquiries through an assigned Account Manager or Project Manager. Direct consultations with technical bioinformaticians can be scheduled for initial custom scoping or complex multiomics studies.

Pepkio connects researchers directly with the lead computational biologist executing their analysis. Communication occurs via email, video calls, or messaging throughout scoping, execution, and manuscript revision.

### How do pricing models and service scopes differ?
Psomagen uses quote-based per-sample or per-project pricing with volume discounts for large sample batches. Quotes cover sample processing, sequencing, raw data files, standard secondary processing, and summary PDF/HTML reports. Advanced custom analysis or additional re-analysis rounds require custom scoping.

Pepkio provides fixed-price project quotes scoped upfront. Quotes cover data processing, full R/Python script handover, editable vector figures, draft Methods text, and post-delivery reviewer support.

### How is data ownership and storage handled?
Psomagen delivers raw data files and report outputs via secure cloud download channels (such as AWS, Globus, or DNANexus) or physical hard drives. Cloud link access periods vary by service contract, so researchers should download and archive deliverables promptly upon project completion. Clients own physical sample data, raw reads, and final report outputs, while internal pipeline code remains proprietary.

Pepkio transfers all final output files, scripts, figures, and documentation upon project completion with no download link expiration limits. Clients retain 100% ownership of all data, scripts, figures, and derived intellectual property.

### How are non-standard or custom analyses supported?
Psomagen standardizes automated pipelines for common reference genomes and established assays. Non-standard experimental designs, custom algorithm development, or bespoke mathematical modeling are scoped separately as custom bioinformatics add-ons.

Pepkio customizes R and Python scripts during initial project scoping to support non-standard experimental designs, custom reference genomes, or non-default statistical models, and hands over all customized code upon project completion.

## When Pepkio Is the Better Fit
- You already have raw FASTQ, BAM, VCF, or count files and need dedicated dry-lab analysis.
- You require executable R and Python scripts, parameter logs, or optional environment files to run analyses on your local cluster.
- You want direct, ongoing collaboration with the lead computational biologist executing your analysis.
- You need editable vector figures (SVG/PDF) and a fully drafted Methods section for manuscript submission.
- You want post-delivery technical support from the lead analyst to address journal reviewer comments and perform requested re-analyses.

## When Psomagen Is the Better Fit
- You need a US provider to process physical tissue, blood, or FFPE samples, extract DNA/RNA, prepare libraries, and sequence reads.
- Your project requires specialized sequencing platforms, such as PacBio Revio long reads, Ultima UG 100 high-throughput sequencing, 10x Visium HD / Xenium spatial transcriptomics, or Olink Explore HT proteomics.
- You need rapid turnaround for sequencing-coupled runs (1 to 3 weeks) or expedited FAST-track options (5 to 7 business days).
- You are submitting large sample batches that benefit from per-sample volume discounts.
- You prefer standardized PDF/HTML report packages without managing raw R or Python execution code.

## Trade-Offs at a Glance

### Psomagen Trade-Offs
- **Pros**: Operates CLIA-certified and CAP-accredited wet-lab facilities in Rockville, MD; provides sequencing across specialized platforms (PacBio Revio, Ultima UG 100, 10x Visium HD/Xenium, Olink Explore HT); offers fast 5–7 day FAST-track options; provides volume discounts for large sample batches.
- **Cons**: Does not deliver raw execution scripts (R/Python) or workflow manager files; project communications pass through project managers; cloud download links expire post-delivery based on project terms; written reviewer response support is not standard policy.

### Pepkio Trade-Offs
- **Pros**: Delivers full executable R and Python scripts, version-pinned environment files, editable vector figures, and draft Methods text; provides direct access to the lead computational biologist; includes post-delivery reviewer support and re-analyses; 100% client code and IP ownership with no download link expiration limits.
- **Cons**: Does not process physical biological samples or perform wet-lab sequencing, requiring pre-existing raw data files.

## Frequently Asked Questions

### Do I get the actual R and Python scripts used for my analysis?
When working with Pepkio, you receive all raw executable R and Python scripts, parameter logs, version-pinned environment files, and optional Nextflow or Snakemake workflow files. Psomagen delivers summary HTML/PDF execution reports, processed data tables, and aligned BAM/VCF files, but does not distribute raw execution scripts or pipeline source code.

### Can Psomagen process physical tissue or blood samples?
Yes. Psomagen operates CLIA-certified and CAP-accredited wet-lab facilities in Rockville, Maryland. They accept biological inputs including fresh or frozen tissue, FFPE slides, blood, saliva, stool, cell pellets, and extracted DNA/RNA for library preparation and sequencing.

### What raw data formats can I send to Pepkio for analysis?
Pepkio accepts raw FASTQ sequencing files, aligned BAM or CRAM files, variant VCF files, or raw gene expression count matrices generated by any commercial sequencing provider or core facility.

### Will either provider help answer journal reviewer comments?
Pepkio includes post-delivery technical support from the lead computational biologist who executed your analysis. The analyst helps draft technical responses to reviewers and performs requested re-analyses or parameter adjustments. Psomagen's technical team can clarify report metrics upon request, but formal written responses or complimentary re-analysis rounds are evaluated on a project-by-project basis.

### How long do I have to download my data files after project completion?
Download link availability for Psomagen deliverables depends on the specific project contract, after which download links expire. Pepkio transfers files directly upon project completion without server download expiration limits.

### Can I request custom parameter adjustments or custom reference genomes?
Pepkio tailors R and Python scripts to custom reference genomes, non-standard experimental designs, or non-default tool parameters during project scoping and hands over the modified scripts. Psomagen executes standardized automated pipelines for common reference genomes; non-standard designs require custom project scoping as advanced add-ons.

### Who will I talk to during the project: a project manager or a bioinformatician?
At Pepkio, you communicate directly with the senior computational biologist executing your analysis via email, video calls, or direct messaging. At Psomagen, routine communication and sample status tracking are managed by an assigned Account Manager or Project Manager, with technical bioinformatician calls arranged for custom project scoping.

### Are software tool names and versions disclosed in final project reports?
Yes. Both providers list software tool names, reference assemblies, alignment parameters, and QC metrics in final project deliverables. Tool versions used during execution are documented in the final reports delivered by both providers.

### Does Psomagen require academic co-authorship on manuscript publications?
No. Psomagen operates as a commercial contract research organization and does not require co-authorship for routine contract sequencing and bioinformatics services. Acknowledging Psomagen (Rockville, MD, USA) in your manuscript Acknowledgments section is standard practice.

### What files do I receive for manuscript publication figures?
Pepkio delivers high-resolution, fully editable vector graphics (PDF, SVG) alongside raster formats (PNG, TIFF). Psomagen delivers static plots in PDF/HTML summary reports and provides access to interactive visualization platforms (Aspect Analytics Weave) for spatial data.

### How fast can I get analysis results back?
Psomagen offers FAST-track options (such as FAST-RNA or FAST-Meta) with turnaround times of 5 to 7 business days post-QC approval, while standard NGS and bioinformatics runs take 1 to 3 weeks. Pepkio operates on dry-lab timelines of 2 to 4 weeks for standard cohorts and 4 to 6 weeks for complex multi-contrast studies.

### Can I re-run the analysis pipeline on my institution's HPC cluster?
With Pepkio, yes. Because you receive raw R and Python scripts, version-pinned environment files, and optional Docker or Conda containers, you can execute and re-run the pipeline on local workstations or HPC infrastructure. Psomagen processes data on internal managed infrastructure, so workflow files and container recipes are not distributed for local re-execution.

## Bottom Line
The choice between Psomagen and Pepkio depends on whether your project needs wet-lab sample processing and sequencing, or dry-lab computational analysis with code delivery.

Psomagen is a practical choice when you need a US-based laboratory to process physical biological samples, generate raw sequencing reads across short-read, long-read, or spatial platforms, and deliver standard secondary data reports in 1 to 3 weeks.

Pepkio is a better fit when you already have FASTQ, BAM, or count files and need pipeline transparency, executable R and Python scripts, publication-ready vector figures, draft Methods text, and direct collaboration with a senior computational biologist to support manuscript submission and peer review.


:::disclaimer
This comparison is based on publicly available information at the time of writing. Services, pricing, and policies may change over time; please verify the latest details directly with the relevant provider.
:::

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