VAMS LABS™ · research collaboration

Research collaboration, scoped with clarity.

From study question to structured outputs — VAMS LABS™ supports microbiome research with sequencing coordination, bioinformatics, pilot studies and method-bounded report frameworks, under consent-aware arrangements.

Discuss a Research Collaboration For Research Teams

Study design scopingSequencing coordinationBioinformatics outputsPilot & cohort studiesATLAS™ report co-developmentResearch-use framing

Who this is for

Research teams we work with

Academic investigators

Research coordinators

Clinical research teams

Biotech R&D teams

University laboratories

Multi-site cohorts

Collaboration models

Ways to collaborate — and their status

Ways to collaborate — and their status
Model	What it involves	Status
Fee-for-service sequencing / bioinformatics	Coordinated sequencing and analysis for a defined project.	Available via validated / partner workflows
Pilot study support	Scoped pilots to test feasibility before a larger study.	Available
Report-framework co-development	Co-designing a structured, method-bounded report layer.	Requires scoping
Cohort & longitudinal studies	Cross-sectional and repeated-measure microbiome designs.	Requires scoping
Validation-oriented collaborations	Method/workflow validation projects (not clinical validation unless approved).	Requires scoping
Publication / grant support	Discussed during scoping; offered only where founder-approved.	Discuss during scoping

Before scoping

Project checklist

Research question

Sample type

Expected sample count

Study design

Available metadata

Existing data status

Desired outputs

Governance / ethics context

Preferred timeline

What we decide together

Scoping the study

Sample type Method Metadata Cohort design Sequencing depth Bioinformatics deliverables Reporting framework Governance / data access

FAQ

Collaboration questions

Can you work with university or hospital research teams?

Yes — we work with academic, clinical-research and biotech teams on research-use, consent-aware projects. Data governance and ethics context are confirmed during scoping.

Can you help with study design?

Yes — we can help decide sample type, method, metadata, cohort design, sequencing depth, deliverables and reporting framework during scoping.

Do you support publications or grants?

This is discussed during scoping and offered only where founder-approved. We do not claim publication or grant outcomes.

Are outputs diagnostic?

No. Outputs are research-use and method-bounded unless a separately approved, formally contracted pathway exists.

How is consent and data governance handled?

Consent and governance context are confirmed during scoping. De-identified aggregate reporting is only used where consent and governance allow.

Continue

Related pathways

Sequencing services → Sample workflow → Reference methods → For research teams → For laboratories →

Scope a microbiome research collaboration

Share your research question, sample type and study design. We’ll confirm method fit, deliverables and governance before any project begins.

Discuss a Research Collaboration For Research Teams

Collaboration architecture

From study question to reproducible outputs.

A collaboration is scoped as an architecture: question, participants, sampling matrix and a pinned pipeline — with provenance carried through so results can be reconstructed.

01 · Research question

A question fixed before collection begins — cohort, comparison, timeframe and endpoint defined up front, so the design is answerable rather than exploratory after the fact.

02 · Participants

Strata defined, consent scoped

Eligibility, arm allocation and the consent scope for secondary use are recorded before the first sample is issued.

03 · Metadata schema

The same fields, every visit

A fixed schema captured at each timepoint. Fields added mid-study create gaps that cannot be filled retrospectively.

04 · Longitudinal sampling

Repeat sampling on a fixed cadence. A missed timepoint is recorded as missing, never back-filled.

05 · Sequencing

Batched with controls

Runs carry negative and positive controls; batch identity travels with every sample.

06 · Analysis

Pinned pipeline, pinned parameters

Analysis runs against a versioned pipeline and a recorded parameter set, so the same inputs give the same output.

07 · Reproducibility — the provenance record

Participant ID (pseudonymised)
Arm and timepoint
Collection metadata
Kit and batch lot
Protocol version
Extraction and run ID
Pipeline version
Parameter set

Illustrative study architecture, not study data. The matrix shows a sampling schedule; provenance fields and pipeline versions are what make a re-run comparable.

Shared VAMS infrastructure

Kits & custody
Sequencing partners
ATLAS interpretation
Structured reporting

ClinicRequesting practice

Brings the request and the clinical context; takes back a structured report.
LaboratoryPartner laboratory

Brings sequencing capacity under a fixed protocol; takes back scheduling and custody data.
EnterpriseProgramme sponsor

Brings distributed populations; takes back aggregate, de-identified programme reporting.
HospitalProposed integration

A proposed route for clinical data integration. Not built, not deployed, not endorsed by any institution.
Proposed — not built
ResearchCohorts and studies

Brings study design and consented cohorts; takes back versioned, reproducible analysis.

The four solid spokes are engagement models — how each partner type engages with the shared VAMS infrastructure — not existing relationships. The hospital spoke is a proposed integration, shown dashed: it does not represent an existing partnership, endorsement or deployed clinical data connection.