Azenta Life Sciences vs Pepkio: Bioinformatics Service Comparison

Quick Comparison Table

What Azenta Life Sciences Does

Azenta Life Sciences (formerly GENEWIZ) combines wet-lab sequencing facilities with downstream bioinformatics processing. Researchers can submit physical tissue, FFPE samples, blood, cell lines, or extracted nucleic acids, as well as raw FASTQ, BAM, VCF, or count files for standalone dry-lab projects.

Their bioinformatics pipelines process bulk RNA-seq, single-cell RNA-seq (10x Genomics Chromium), spatial transcriptomics and proteomics (10x Visium, Bruker/NanoString CosMx), WGS and WES variant calling, ChIP-seq, ATAC-seq, DNA methylation (RRBS), 16S and shotgun metagenomics, Olink proteomics, metabolomics, and AAV Integration Site Analysis. Their technical guides list open-source tools including FastQC, Trimmomatic, STAR, BWA, Bowtie, featureCounts, DESeq2, WebGestalt, CellRanger, and GATK.

Azenta is typically used by academic and biotech laboratories seeking an all-in-one vendor for sample prep, sequencing, and initial data processing, as well as organizations requiring ISO 9001 certified or CLIA/CAP accredited processing. Deliverables include raw FASTQ files via cloud transfer, aligned BAM files, annotated VCF files, gene expression count matrices, and structured PDF/HTML analysis reports containing summary QC plots and differential expression tables. Azenta operates a managed service model and does not distribute raw execution scripts or internal pipeline code.

What Pepkio Does

Pepkio provides dry-lab pepkio bioinformatics analysis for researchers who already have raw sequencing data. Researchers submit raw FASTQ files, BAM alignments, or expression count matrices, which Pepkio's bioinformaticians process across bulk RNA-seq, single-cell RNA-seq, spatial transcriptomics (10x Visium/Visium HD), WGS/WES variant calling, ChIP-seq, ATAC-seq, metagenomics, and proteomics.

Workflows use standard tools such as STAR, fastp, DESeq2, Seurat, and GATK. Pepkio delivers raw, executable R and Python scripts, normalized data matrices, differential expression tables, publication-ready vector graphics (PDF/SVG), optional Nextflow or Snakemake workflows, optional Docker or Conda environments, and a draft Methods section for manuscript submission.

Projects follow a direct support model where researchers communicate directly with the senior computational biologist handling their dataset. This includes initial scoping, parameter adjustments, and post-delivery support for journal reviewer responses.

Head-to-Head Comparison

Analysis scope & organism support

Both Pepkio and Azenta Life Sciences support human, mouse, rat, non-human primates, agricultural crops, microbes, and non-model reference genomes. Azenta operates physical sequencing platforms (Illumina NovaSeq X, PacBio Revio, Oxford Nanopore, 10x Genomics, Olink) and offers specialized wet-lab multi-omics assays such as DNA methylation (RRBS), metabolomics, Olink proteomics, and AAV vector Integration Site Analysis. Pepkio focuses on core dry-lab omics analyses, covering bulk and single-cell RNA-seq, spatial transcriptomics, WGS/WES variant calling, ChIP-seq, ATAC-seq, metagenomics, and proteomics from submitted data files.

Pipeline transparency (tools, versions, parameters shared?)

Pepkio delivers complete script files and parameter logs detailing exact filtering cutoffs, normalization routines, and statistical parameters. Azenta documents tools (such as STAR, BWA, DESeq2, and GATK) and summarizes parameters inside final PDF/HTML reports, but operates a managed service model where internal execution code remains proprietary.

Reproducibility & code delivery

Pepkio hands over raw, executable R and Python scripts alongside version-pinned environment specifications, with optional Nextflow or Snakemake workflows and Docker or Conda containers. Researchers can inspect, modify, or rerun the exact code locally. Azenta delivers processed output files (BAM, VCF, count matrices) and PDF/HTML summary reports, but does not provide clients with executable R/Python code, workflow manager scripts, or container images.

Publication support (figures, Methods text, reviewer responses)

Pepkio provides publication-ready vector graphics (PDF, SVG), writes a complete draft Methods section covering pipeline steps and parameters, and offers direct analyst support to address journal reviewer comments or run requested re-analyses. Azenta includes visual figures inside PDF/HTML summary reports and allows data table exports to recreate plots; they supply methodological summaries in reports and offer post-delivery Ph.D. technical consultations.

Turnaround & deadline flexibility

Pepkio completes dry-lab analyses in 2 to 4 weeks for standard cohorts and 4 to 6 weeks for complex multi-contrast studies. Azenta's standard post-sequencing bioinformatics turnaround ranges from 2 to 4 weeks, with expedited options available (such as 5-day Lightning RNA-seq) for time-sensitive wet-lab and sequencing projects.

Communication model (analyst access vs. project-manager relay)

Pepkio connects researchers directly with the lead bioinformaticians performing the analysis via email, video calls, or dedicated channels. Azenta routes day-to-day project updates and logistics through dedicated project managers, with Ph.D. bioinformatics specialists joining initial scoping calls and post-report review sessions.

Pricing & what's included

Neither provider lists static pricing on public web pages; both issue custom quotes following project scoping. Azenta quotes pricing per sample or project across service tiers (Value, Preferred, Express, Lightning), with standard packages including primary/secondary processing, reports, 6-month data storage, and technical consultations. Pepkio provides fixed-price project quotes scoped upfront, including data processing, code handover, vector figure generation, Methods text drafting, and reviewer response support.

Data handling & security

Azenta stores raw sequencing data for up to 6 months post-project completion (with extended storage options) and operates ISO 9001 certified and CLIA/CAP accredited lab facilities. Pepkio transfers all final deliverables, scripts, and processed data directly upon project completion, granting clients 100% ownership of code, data, and intellectual property.

Handling non-standard or custom analyses

Pepkio tailors R and Python workflows during scoping to handle custom experimental designs, non-standard assemblies, or custom statistical logic, handing over all modified code. Azenta handles custom requests or non-standard kit processing through scope addenda and offers specialized analytical capabilities for assays like AAV integration site analysis.

When Pepkio Is the Better Fit

• You already have raw FASTQ, BAM, or count files and need dry-lab bioinformatics analysis.
• You require raw, executable R or Python scripts to inspect parameters, modify plots, or maintain internal computational reproducibility.
• 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 publication.
• You prefer fixed-scope project pricing upfront without tiered speed surcharges.

When Azenta Life Sciences Is the Better Fit

• You need a single vendor to handle physical sample extraction, library preparation, sequencing, and bioinformatics reporting under one roof.
• Your project requires processing in ISO 9001 certified or CLIA/CAP accredited laboratory facilities.
• You require specialized omics assays such as Olink high-multiplex proteomics, AAV vector Integration Site Analysis, or CosMx spatial molecular imaging.
• You require expedited wet-lab sequencing timelines, such as 5-day Lightning RNA-seq options.
• You prefer a managed service report format (PDF/HTML) where internal pipeline execution is handled entirely by the CRO.

Trade-Offs at a Glance

Frequently Asked Questions

Do I get the actual R or Python scripts used to analyze my data?

Pepkio delivers complete executable R and Python scripts, parameter logs, and optional Docker/Conda containers so your team can inspect or rerun the workflow locally. Azenta Life Sciences operates a managed service model that delivers processed data tables, alignment files, and PDF/HTML reports, but does not distribute internal pipeline scripts or source code.

Will either team write the Methods section for my manuscript?

Pepkio includes a draft publication-ready Methods section detailing reference assemblies, alignment tools, statistical thresholds, and software packages used. Azenta provides methodological summaries, software tool lists, and parameter notes within the final analysis report, which researchers can adapt into their manuscript.

How do both providers handle journal Reviewer 2 comments during peer review?

Pepkio provides direct post-delivery support where the bioinformatician who executed your analysis helps answer reviewer questions, adjust figures, or perform requested re-analyses. Azenta offers post-delivery Ph.D. technical support consultations to clarify report findings; additional exploratory re-analyses outside the initial scope are quoted as project updates.

Can I send raw FASTQ files if I already sequenced my samples elsewhere?

Yes, both options accept pre-existing raw data files. Pepkio operates as a dry-lab bioinformatics CRO for pre-sequenced datasets, accepting FASTQ, BAM, or count matrices. Azenta also accepts external FASTQ, BAM, VCF, and count files for standalone bioinformatics projects alongside their wet-lab sequencing services.

Do I talk directly to the bioinformatician working on my project?

With Pepkio, you communicate directly with the senior computational biologist performing your analysis throughout the project. At Azenta Life Sciences, primary project communications and status updates are managed by dedicated project managers, though Ph.D. bioinformatics specialists participate in scoping calls and post-report review sessions.

What file formats do I receive for publication figures?

Pepkio supplies publication-ready figures in editable vector formats (SVG, PDF) as well as high-resolution raster files (PNG, TIFF). Azenta delivers visual figures embedded within PDF/HTML reports and provides processed data tables so researchers can export raw data to generate custom vector plots.

What is the typical turnaround time for an analysis?

Pepkio typically completes standard bulk RNA-seq cohort analyses in 2 to 4 weeks from raw data receipt. Azenta's bioinformatics analysis generally takes 2 to 4 weeks following sequencing completion, though they offer expedited wet-lab tiers such as 5-day Lightning RNA-seq for time-sensitive projects.

Are prices listed publicly on their websites?

Neither Pepkio nor Azenta Life Sciences publishes static price lists on their public web pages. Both provide custom proposals after evaluating sample numbers, experimental design, and analytical scope during an initial project consultation.

Who owns the resulting code, processed data, and intellectual property?

Under both options, researchers retain 100% ownership of their physical sample data, raw sequencing files, processed data matrices, and final report outputs. Pepkio also transfers 100% ownership of all custom R/Python scripts written for the project, whereas Azenta retains proprietary ownership of its internal pipeline software.

What happens to my raw data after project completion?

Azenta stores standard raw sequencing data (FASTQ, BAM) for up to 6 months post-project completion, with extended storage available for an additional fee. Pepkio hands over all final processed files and scripts upon delivery, requiring researchers to store their own archived backups.

Can either provider handle non-model organisms or custom reference genomes?

Yes. Both Pepkio and Azenta Life Sciences analyze datasets from non-model plants, animals, microbial communities, and custom reference assemblies when specified during project scoping.

What if my study requires ISO or CLIA regulatory compliance?

Azenta Life Sciences operates ISO 9001 certified and CLIA/CAP accredited laboratory facilities, making them suitable for clinical trials or regulated studies requiring accredited processing. Pepkio focuses on research-grade dry-lab computational biology consulting and script delivery.

Bottom Line

In this bioinformatics CRO comparison of Pepkio vs Azenta Life Sciences, the right choice hinges on whether your lab needs an integrated wet-lab sequencing facility or a dedicated dry-lab partner. If you need sample extraction, library preparation, sequencing, and CLIA/ISO accreditation under one roof, Azenta Life Sciences provides extensive multi-platform infrastructure and managed reporting. If you already have raw data and require raw R/Python code delivery, direct access to computational biologists, publication-ready vector figures, and a draft Methods section, Pepkio offers a streamlined, code-transparent path from raw data to manuscript submission.