Missing lineage
Inputs and outputs become detached from the parameters and transformations that produced them.
ZGL OS · Research-use genomics platform
Deterministic genomics for reproducible bioinformatics.
ZGL OS helps genomics, biotechnology and life-science teams execute traceable workflows, preserve data provenance, inspect audit trails, replay controlled analyses and export research evidence packages.
Framework DOI 10.5281/zenodo.21079818Platform DOI 10.5281/zenodo.16665221Research Use Only · Non-clinical
The reproducibility problem
Scientific results are harder to trust when workflow context disappears.
Ad hoc scripts, undocumented parameters, fragmented tools and changing datasets can make a bioinformatics run difficult to reconstruct. ZGL OS organizes the execution context so research teams can inspect what happened, repeat the intended workflow and preserve evidence for collaboration, review and publication.
Pipeline drift
Equivalent questions can produce inconsistent workflows when implementation details change silently.
Weak handoff
Reviewers and collaborators receive results without the context required to inspect or replay the work.
Core platform
Six controls around every genomic workflow.
These capabilities form the operating model of ZGL OS. They support research documentation and audit-ready workflow records without claiming clinical certification or regulatory approval.
Determinism
Controlled logic aims to produce consistent execution for equivalent supported inputs and configurations.
Deterministic genomics →Traceability
Key steps, commands and transformations remain connected to the resulting research artifacts.
Traceable workflows →Reproducibility
Structured workflow context helps teams repeat a method and compare executions transparently.
Reproducible bioinformatics →Data Provenance
Inputs, configurations, outputs and related evidence retain an inspectable lineage.
Genomic data provenance →Auditability
Recorded execution details support review, governance and methodological transparency.
Bioinformatics audit trail →Replayability
A saved execution context provides a controlled path for repeating an analysis and comparing outcomes.
Execution replayability →Automated Evidence Package
Move the execution context with the result.
Where the active plan includes evidence export, ZGL OS packages the available workflow context into a reviewable artifact. SHA-256 integrity values can help verify whether compared artifacts match exactly; they do not, by themselves, certify scientific validity.
What was used
Supported input references, module identity, parameters and execution metadata.
What happened
Traceable commands, transformations, timestamps and available audit records.
What was produced
Outputs, report context and integrity information available for the workflow.
How ZGL OS works
A clear path from dataset to evidence.
The exact inputs and outputs depend on the selected module. The platform workflow remains explicit.
Select an input
Use an included sample payload or provide a format supported by the chosen module.
Choose a module
Select the deterministic module and define the available configuration.
Execute
Run the authenticated workflow within the server-enforced plan and quota.
Inspect context
Review outputs, parameters, provenance and the available audit trail.
Replay
Repeat the controlled execution to compare results and document method consistency.
Export evidence
Download the available report or Evidence Package when included by the active entitlement.
Free Lite plan
Start with three real modules and sample payloads.
Every new account begins on Lite. Server-side entitlements—not browser buttons—control plan access.
Test the operating model before you buy.
Lite includes Z Gene Input, Z 3D Genomic Viewer and Z AI Auto Suggestions, with five executions per UTC day. Evidence Package download and private API access are not included in Lite.
3 included modulesSample payload library5 runs per UTC dayNo payment card for Lite or trial
Scientific evidence & public records
Authority links you can inspect, verify and cite.
ZGL OS links product claims to public scientific, technical and innovation records. New benchmarks and manuscripts should continue expanding this evidence base.
Symbolic Genomics Framework
Public framework record for scientific citation and review.
Open Framework DOI →ZGL OS platform record
Public software and platform record for research communication and methods references.
Open Platform DOI →TP53 1M-base case study
Request the current case-study package and verification material for controlled review.
Request TP53 evidence →WIPO GREEN
Z Genome Lab innovation record in the WIPO GREEN database, ID 174260.
Open WIPO GREEN record →ORCID — Zeghdani Faris
Persistent researcher identity connecting the founder and scientific author to public work.
Open ORCID 0009-0007-5642-6034 →GitHub repository
Inspect the public Z Genome Lab repository and available open technical materials.
Open GitHub repository →Sector workflows
Built for genomics across research and industry.
ZGL OS applies the same evidence-first operating model to different research settings while keeping the Research Use Only boundary clear.
Biopharma & Pharma R&D
Preserve provenance and review context across biomarker, translational and discovery workflows.
Biopharma genomics →Biotechnology & Life Sciences
Turn multi-step genomic analysis into traceable, repeatable and inspectable research workflows.
Life-science workflows →AgriTech & Crop Genomics
Maintain dataset lineage, workflow consistency and evidence across crop genomics projects.
AgriTech genomics →Universities & Institutions
Support reproducible teaching, methods transparency, collaboration and institutional pilots.
Institutional genomics →Bioinformatics Teams
Reduce pipeline drift with explicit execution context, audit trails and replayable work.
Bioinformatics platform →Genomics Core Facilities
Standardize supported service workflows and preserve project-level execution evidence.
Core-facility workflows →FAQ
Questions researchers and institutions ask.
What is deterministic genomics?
It is an execution approach designed so equivalent supported inputs and configurations follow controlled logic and produce consistent, inspectable outcomes. It does not mean every biological interpretation is automatically correct.
How does ZGL OS improve bioinformatics reproducibility?
It connects the supported input, selected module, parameters, execution records and outputs so a team can understand and replay the intended workflow.
What is a genomic Evidence Package?
It is an export of the workflow context available for a run—such as input references, configuration, traceability records, outputs and integrity information. Availability depends on the plan and module.
What is included in Lite?
Lite includes three modules—Z Gene Input, Z 3D Genomic Viewer and Z AI Auto Suggestions—with sample payloads and five executions per UTC day.
How does the 7-day Pro trial work?
An authenticated Lite user may claim one server-enforced Pro evaluation per account. It lasts seven calendar days, allows 15 executions per UTC day, requires no card and returns to Lite automatically without paid conversion.
Can a university, laboratory or company request a pilot?
Yes. Plans includes institutional pilots, API, on-premise and licensing request paths. Exact scope, seats and dates are confirmed during review.
Is ZGL OS intended for clinical diagnosis?
No. ZGL OS is Research Use Only and non-clinical. It does not claim clinical diagnostic use, regulatory certification or regulator approval.
How do I request a quote or invoice?
Open Plans, select the relevant product and submit the existing request form. The request is recorded for administrative review and confirmation.
Start now
Test the workflow. Inspect the evidence. Then choose the right deployment.
Begin with Lite, evaluate Pro for one week, or request an institutional pilot and licensing discussion.
Research Use Only — Non-clinical. Supports audit-ready research documentation and traceable workflows; no regulatory or clinical certification is claimed.