Variant interpretation buyer guide

VarSome vs Franklin: start with the workflow, not the feature count

Both platforms support broad genomic interpretation workflows. The useful question is which evidence, case, and reporting path your team needs to validate.

Neutral guide based on official product documentation reviewed 18 August 2026. Verify current vendor scope before making a clinical or procurement decision.

Three different scopes are easy to confuse

VarSome Clinical documents a broad pipeline spanning variant calling, annotation, and semi-automated germline and somatic classification. Franklin documents a case workbench with automated ACMG classification, AI-assisted prioritization, evidence review, and reporting.

CardioGen AI sits in a smaller category. It supports a guided four-gene cardiovascular model review and exposes submitted inputs, a model output, feature contributions, and a PDF report. That makes it suitable for a focused workflow evaluation, not a claim of clinical equivalence.

Review CardioGen AI's repository-backed holdout evidence →

Documented scope

Compare the work each product is built to carry

Descriptions summarize official vendor documentation and CardioGen AI's current production workflow. They are not rankings.

Evaluation question	VarSome Clinical	Franklin	CardioGen AI
Primary workflow	Variant calling, annotation, and classification across clinical NGS workflows	Case processing, prioritized workbench review, interpretation, and reporting	Focused cardiovascular variant review for research and workflow evaluation
Documented breadth	Germline and somatic workflows, including small variants and copy-number variants	Case and variant review across small variants and structural or copy-number findings	LDLR, APOB, PCSK9, and LDLRAP1 in the current model
Interpretation view	Guideline-based verdicts, triggered rules, annotations, and custom classifications	Automatic ACMG classification, prioritized findings, evidence hub, and organization classifications	Submitted evidence, binary model output, confidence, explanation, and feature contributions
Review artifact	Configurable variant tables, classification records, and clinical workflow outputs	Workbench, reporting bins, exports, and organization knowledge	Single or batch results plus a saved PDF report
Boundary to verify	Use the current VarSome Clinical manual and validated product scope	Use the current Franklin documentation and validated use conditions	Research-use only, with no clinical-device or diagnostic claim

Selection questions

A useful trial should expose the handoffs

Do not choose from a checklist alone. Run a representative, de-identified path and see where judgment changes hands.

What enters the system?

Confirm supported files, variant types, genome builds, assays, and the data your team is allowed to submit.

How is evidence weighed?

Separate database annotation, guideline rules, predictive models, internal classifications, and reviewer judgment.

What stays inspectable?

Check provenance, rule changes, comments, evidence conflicts, model explanations, and the audit trail another reviewer can reconstruct.

What leaves the system?

Review reports, exports, integrations, access controls, and every step needed before a result enters a governed process.

Where CardioGen AI fits

Use the narrow option to test one cardiovascular evidence-review path.

Evaluate CardioGen AI when your immediate question concerns one of its four supported genes and you want to inspect a model-assisted review without implying a complete clinical pipeline.

See the focused VarSome alternative →

Official sources used

Evaluation questions

Know the boundary before the trial

Answers reflect public documentation and CardioGen AI's current production scope.

Are VarSome Clinical and Franklin equivalent products?

No. Their official documentation shows overlapping interpretation capabilities, but their workflows, interfaces, configurations, and validated use conditions differ. Evaluate each against your own samples, review policy, and reporting process.

Which platform covers the broadest workflow?

Both document broad case-oriented workflows. VarSome Clinical describes variant calling, annotation, and germline or somatic classification. Franklin documents case processing, AI-assisted prioritization, evidence review, classification, and reporting.

Is CardioGen AI a direct replacement for VarSome Clinical or Franklin?

No. CardioGen AI is a narrower research and workflow-evaluation workspace for LDLR, APOB, PCSK9, and LDLRAP1. It is not presented as a clinically validated diagnostic device or a complete NGS pipeline.

How should a team run a fair evaluation?

Use de-identified or synthetic material, define the evidence and reporting steps you need, and review outputs with qualified personnel. Confirm each vendor's current documentation and validated scope before clinical adoption.

Evaluate the workflow

See the narrow path in practice.

Bring one de-identified cardiovascular review and test the full handoff.

Request a focused demo