---
title: "Macrogen vs Pepkio: Bioinformatics Service Comparison"
contentType: "ARTICLE"
datePublished: "2026-08-05"
dateModified: "2026-08-05"
canonicalUrl: "/compare/pepkio-vs-macrogen"
---

# Macrogen vs Pepkio: Bioinformatics Service Comparison

The main difference between Pepkio and Macrogen is whether you need an integrated wet-lab sequencing facility with managed summary reporting or a dedicated dry-lab bioinformatics service that delivers raw executable scripts. In this Pepkio vs Macrogen comparison, Macrogen provides wet-lab sample extraction, library preparation, and high-throughput sequencing paired with managed bioinformatic processing. Pepkio focuses exclusively on dry-lab bioinformatics for research groups that already have raw sequencing datasets, delivering executable R and Python scripts, drafted Methods text, and editable vector figures. If your project requires physical tissue processing or multi-platform sequencing hardware, Macrogen handles the combined laboratory and analytical workflow. If you already possess raw FASTQ files and require computational code delivery, parameter control, and direct access to a bioinformatician, Pepkio fits your analytical needs.

## Quick Comparison Table

| Aspect | Pepkio | Macrogen |
| --- | --- | --- |
| Analysis types supported | [Bulk RNA-seq](/services/rna-seq), [scRNA-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, scRNA-seq/snRNA-seq (10x Chromium), spatial transcriptomics (Visium, STOmics), WGS/WES, epigenomics (WGBS, RRBS, ChIP-seq), metagenomics, Olink proteomics, metabolomics |
| Pipeline tools & versions disclosed | Standard tools (STAR, DESeq2, Seurat, GATK) with parameters logged and versions specified in project deliverables | Standard tools (FastQC, STAR, BWA, GATK, DESeq2, CellRanger) with versions documented in final reports |
| Code & script delivery | Executable R and Python scripts; optional Nextflow or Snakemake workflows and Docker or Conda environments | Summary reports (PDF/HTML), processed data tables, and BAM/VCF files; executable scripts or internal workflow code are not distributed |
| Reproducibility approach | Script handover, parameter logging, version-pinned execution environments, optional Docker or Conda containers | Managed internal pipelines, summary reports, and processed data tables; pipeline source code or containers are not provided |
| Publication figures | High-resolution editable vector graphics (PDF, SVG) and raster formats (PNG, TIFF) | Embedded PDF/HTML report visualizations; raw plot tables or vector files (SVG/PDF/EPS) provided upon request |
| Methods-section support | Includes a drafted publication-ready Methods section | Methodological summaries and tool parameter lists included in project reports for manuscript adaptation |
| Reviewer-response support | Direct post-delivery technical support for journal reviewer queries and re-analyses | Post-delivery Ph.D. technical support consultations; scope updates required for additional exploratory re-analyses |
| Turnaround time | 2–4 weeks for standard cohorts; 4–6 weeks for complex multi-contrast studies | 4–6 weeks for standard NGS (sequencing plus bioinformatics); 24–48 hours for Sanger sequencing; 6+ weeks for complex multi-omics |
| Direct analyst access | Direct contact with senior bioinformaticians executing the code | Primary contact via sales representatives and project managers; Ph.D. specialists join scoping and report review calls |
| Pricing structure | Quote-based fixed project pricing | Quote-based per-sample or project scope pricing; volume discounts available for large sample cohorts |
| Data retention & ownership | 100% client ownership of data, code, and figures; immediate file transfer upon completion | 100% client ownership of samples, raw data, and report tables; 90-day server data retention and 2-week active download links; internal software remains proprietary |
| Best suited for | Research groups with raw data needing dry-lab processing, executable script handover, direct analyst access, and manuscript support | Laboratories requiring integrated wet-lab sample extraction, sequencing hardware, multi-platform assays, or turnkey managed reporting |

## What Services Does Macrogen Provide?
Macrogen operates global laboratory facilities that combine wet-lab sample processing with bioinformatics analysis. Researchers submit physical specimens—including tissue, FFPE slides, cell lines, blood, or extracted nucleic acids—or submit external raw FASTQ, BAM, or VCF files for standalone dry-lab projects.

Their hardware infrastructure includes Illumina (NovaSeq X, NovaSeq 6000, MiSeq), PacBio (Revio, Sequel IIe), Oxford Nanopore (PromethION, GridION), 10x Genomics Chromium, and MGI DNBSEQ platforms. Bioinformatic analysis covers [bulk RNA-seq](/services/rna-seq), single-cell transcriptomics (10x Visium, STOmics), WGS and WES variant calling, epigenomics (WGBS, RRBS, ChIP-seq, ATAC-seq), metagenomics, Olink proteomics, and metabolomics.

Workflows utilize standard open-source tools such as FastQC, STAR, BWA, DESeq2, GATK, CellRanger, Seurat, and MACS2. Deliverables include raw FASTQ files, aligned BAM files, variant call VCFs, expression count tables, and structured PDF or HTML summary reports. Macrogen runs analyses on internal infrastructure as a managed service and does not distribute raw R or Python execution scripts.

## What Services Does Pepkio Provide?
Pepkio provides dry-lab bioinformatics analysis for research groups that already possess raw omics datasets. Researchers provide raw FASTQ files, aligned BAM files, VCF datasets, or count matrices generated by external sequencing facilities.

Supported analytical workflows include [bulk RNA-seq](/services/rna-seq), [single-cell RNA-seq](/services/single-cell), [spatial transcriptomics](/services/spatial-transcriptomics) (10x Visium and 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). Pipelines incorporate standard open-source software such as STAR, fastp, DESeq2, Seurat, and GATK.

Deliverables include raw executable R and Python scripts, parameter logs, normalized data tables, editable vector figures (PDF and SVG), optional Nextflow or Snakemake workflow scripts, optional Docker or Conda environment files, and a drafted Methods section. Research teams communicate directly with the senior computational biologist handling their analysis throughout the project.

## Pepkio vs Macrogen: Head-to-Head Comparison

### Supported analysis types and organisms
Both providers analyze standard model organisms, agricultural species, microbes, and non-model genomes with custom reference annotations. Macrogen operates physical sequencing instruments and supports wet-lab assays such as WGBS methylation, Olink proteomics, mass spectrometry metabolomics, and STOmics spatial transcriptomics. Pepkio focuses strictly on computational dry-lab processing, analyzing external bulk RNA-seq, single-cell transcriptomics, spatial transcriptomics, WGS/WES, ChIP-seq, ATAC-seq, metagenomics, and proteomics datasets.

### Pipeline transparency and software execution
Pepkio hands over execution scripts, parameter logs, and environment configurations detailing exact filtering cutoffs, normalization routines, and statistical models. Macrogen lists software tools (such as STAR, BWA, DESeq2, GATK, and CellRanger) and major processing steps within its final PDF or HTML project reports, retaining internal pipeline execution code within its managed infrastructure.

### Reproducibility and code deliverables
Pepkio delivers executable R and Python scripts, parameter logs, version-pinned environment files, and optional Nextflow, Snakemake, Docker, or Conda configurations. This setup allows researchers to inspect, edit, or rerun the analysis locally. Macrogen supplies processed data tables (CSV/Excel), alignment files (BAM/CRAM), variant call files (VCF), and static report visualizations, but does not provide raw R/Python scripts or workflow source files.

### Publication support and manuscript deliverables
Pepkio provides editable vector graphics (PDF, SVG), drafts a publication-ready Methods section covering software citations and parameters, and provides direct technical support to assist with journal reviewer comments or re-analyses. Macrogen includes figures within PDF/HTML reports, provides raw plot data tables or vector files upon request, includes methodology summaries in reports for manuscript preparation, and offers Ph.D. technical support consultations.

### Turnaround time and scheduling
Pepkio completes dry-lab analyses in 2 to 4 weeks for standard study cohorts and 4 to 6 weeks for complex multi-contrast projects. Macrogen's turnaround for combined sequencing and bioinformatics projects is 4 to 6 weeks following sample quality control approval, with 24 to 48 hours for Sanger sequencing, and 6+ weeks for complex multi-omics studies.

### Analyst communication model
Pepkio connects researchers directly with the senior computational biologist executing their analysis via email, video calls, or messaging tools. Macrogen manages logistics through sales representatives and project managers, with Ph.D. technical specialists participating in initial scoping calls and report reviews.

### Pricing structure
Neither provider publishes fixed price lists online; both issue project quotes following scoping. Macrogen quotes pricing per sample or project scope, with volume discounts available for large sample runs. Pepkio provides fixed upfront project quotes that cover data processing, script delivery, vector figure generation, Methods text drafting, and reviewer response support.

### Data retention and ownership
Macrogen retains project data and reports on its servers for 90 days after release, stores physical sequencing samples for 90 days, and maintains active download links for 2 weeks, with extended server hosting available for a fee. Pepkio transfers all final deliverables, code, figures, and processed tables upon completion, granting research groups complete ownership of code, data, and intellectual property.

### Custom analysis capabilities
Pepkio adapts R and Python code during scoping to support non-standard reference genomes, custom contrast matrices, or non-default statistical logic, delivering all modified scripts. Macrogen handles non-standard analytical requests or custom reference assemblies through project scope addenda and custom quotes.

## When to Choose Pepkio
- You already have raw FASTQ, BAM, or count datasets and require dry-lab analysis without re-sequencing.
- Your project requires executable R or Python scripts to inspect parameters, modify plots, or integrate with internal pipelines.
- You want direct, ongoing communication with the computational biologist executing your data analysis.
- You need manuscript-ready vector figures (SVG/PDF) and a drafted Methods section for journal submission.
- You prefer fixed upfront project pricing that includes script handover and reviewer response support.

## When to Choose Macrogen
- You need a single provider to manage physical sample extraction, library preparation, sequencing, and primary bioinformatics under one contract.
- Your study requires specific sequencing hardware such as PacBio HiFi, Oxford Nanopore PromethION, MGI DNBSEQ, or specialized assays like Olink proteomics.
- You require volume per-sample pricing discounts across large clinical or population cohorts.
- You prefer a managed reporting format (PDF/HTML reports and summary tables) without running or maintaining computational code locally.
- Your institution utilizes Macrogen's global network of laboratories and regional sample submission points.

## Trade-Offs at a Glance

| Factor | Pepkio | Macrogen |
| --- | --- | --- |
| Service scope | Dry-lab bioinformatics analysis | Integrated wet-lab sequencing & dry-lab processing |
| Code deliverables | Executable R/Python scripts; optional Nextflow/Docker | Managed pipelines; PDF/HTML reports & data tables |
| Communication structure | Direct contact with lead computational biologist | Project manager relay with Ph.D. technical support calls |
| Turnaround time | 2–4 weeks for standard dry-lab projects | 4–6 weeks for standard NGS (sequencing + bioinformatics) |
| Data retention window | Immediate transfer upon delivery | 90-day server retention; 2-week active download link |
| Publication deliverables | Draft Methods section & editable vector plots (SVG/PDF) | Report methodological summaries & embedded graphics |

## Frequently Asked Questions

### Do I get the actual R or Python scripts used to process my data?
Pepkio delivers complete executable R and Python scripts, parameter logs, and optional Docker or Conda environment files so your team can rerun the analysis locally. Macrogen operates a managed service model that delivers processed data tables, alignment files, and PDF/HTML summary reports, but does not distribute internal execution code or pipeline scripts.

### Will either service draft the Methods section for my manuscript?
Pepkio includes a draft publication-ready Methods section detailing reference assemblies, alignment software, filtering thresholds, and statistical packages used. Macrogen provides technical methodology summaries, tool lists, and key parameters within its project reports, which researchers can adapt into their manuscript Methods section.

### How do both options handle journal reviewer comments or re-analysis requests?
Pepkio includes post-delivery technical support to assist with reviewer inquiries, run requested parameter modifications, and re-generate manuscript figures. Macrogen provides post-delivery consultations with Ph.D. technical specialists to address report questions; additional exploratory re-analyses or scope modifications are handled via project scope updates.

### What happens if I already have raw FASTQ files from another sequencing facility?
Pepkio accepts external FASTQ files, BAM alignments, VCF files, or count matrices for standalone dry-lab analysis. Macrogen also accepts external FASTQ, BAM, VCF, or count files for standalone dry-lab projects alongside its core integrated sequencing services.

### How long do I have to download my data after project completion?
Macrogen retains project data and analysis reports on its servers for 90 calendar days post-release, with download links active for 2 weeks; extended storage requires an additional fee. Pepkio transfers all final deliverables, code, and processed files upon project completion for immediate local archiving.

### Can Macrogen handle wet-lab sample preparation and sequencing alongside bioinformatics?
Yes, Macrogen is an integrated genomics provider that handles physical sample extraction, library preparation, and sequencing across Illumina, PacBio, Oxford Nanopore, and 10x Genomics platforms alongside bioinformatic processing. Pepkio operates strictly as a dry-lab provider for datasets generated by external sequencing facilities.

### How do I communicate with the person executing my analysis?
With Pepkio, you communicate directly with the senior computational biologist handling your dataset via email, video conference, or direct communication channels. Macrogen routes routine project updates through sales representatives and project managers, with Ph.D. technical specialists joining scoping and report review meetings.

### Do I receive publication-ready vector figures for my manuscript?
Pepkio provides high-resolution, editable vector graphics (PDF and SVG) along with raster formats (PNG and TIFF). Macrogen includes data visualizations inside PDF/HTML project reports, and researchers can request raw plot data tables or vector files (SVG/PDF/EPS) for manuscript preparation.

### What is the typical turnaround time for a bulk RNA-seq or variant calling project?
Pepkio delivers standard dry-lab analyses within 2 to 4 weeks from project kickoff. Macrogen's typical turnaround for integrated sequencing and bioinformatics projects is 4 to 6 weeks following sample quality control approval.

### Are there restrictions on custom pipeline modifications or non-standard reference genomes?
Pepkio customizes R and Python execution scripts to accommodate non-standard reference genomes, custom statistical contrasts, or non-default filtering logic, delivering all custom code. Macrogen processes custom analysis requests or non-standard reference assemblies through project scope addenda and custom quotations.

### How is project pricing structured for both options?
Neither provider publishes static pricing for custom bioinformatics work on public web pages. Both provide custom quotations based on project scope; Macrogen offers volume discounts per sample for large sequencing cohorts, while Pepkio provides fixed upfront project quotes covering processing, code delivery, Methods drafting, and reviewer support.

### Do I retain full ownership of my analytical data and intellectual property?
Yes, both options grant research groups 100% ownership of physical sample data, raw sequencing files, and analytical results. Pepkio also transfers complete ownership of all custom executable scripts delivered with the project, whereas Macrogen retains proprietary ownership of its internal computational software and pipeline infrastructure.

## Bottom Line
Choosing between Pepkio and Macrogen depends on whether your project requires physical sample sequencing or transparent dry-lab code execution. If you need a global sequencing vendor to process physical tissue, prepare libraries, and run multi-platform omics assays under one roof, Macrogen provides an established laboratory infrastructure with managed summary reporting. If you already possess raw FASTQ datasets and require executable R/Python code, direct communication with a computational biologist, draft Methods text, and editable vector figures, Pepkio provides a specialized dry-lab analysis partner tailored to manuscript publication and reproducible research.


:::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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