Collaboration¶
AIVA is designed for teams. Whether you are a clinical genetics lab reviewing diagnostic cases or a research group analyzing cohort data, the collaboration features let you organize work into projects, share data with colleagues, annotate variants with flags and comments, and export your findings.
In This Section¶
Projects¶
Create projects to group related samples, set descriptions, and organize your analysis workflow.
Sharing and Roles¶
Invite collaborators by email and assign roles (Owner, Editor, Viewer) to control access.
Variant Flagging¶
Flag individual variants with clinical categories (Pathogenic, VUS, Benign, etc.) and custom labels.
Threaded Comments¶
Add comments to specific variants with reply chains, timestamps, and user attribution.
Exporting Flags and Comments¶
Download flagged variants and comment threads as CSV for clinical reports and audit trails.
How Collaboration Works¶
The collaboration workflow in AIVA follows a straightforward pattern:
- Create a project: Define a project with a name and description to group related samples.
- Add samples: Assign uploaded samples to the project. See Managing Samples.
- Invite collaborators: Share the project with team members by email, assigning appropriate roles.
- Annotate together: Team members flag variants, leave comments, and classify variants using ACMG criteria.
- Export results: Download flags and comments for clinical reports, publications, or audit documentation.
Role-based access
Each collaborator has a role that determines what they can do within the project. See Sharing and Roles for a breakdown of permissions by role.
Collaboration and AI Analysis¶
Collaboration features integrate with AIVA and the analysis tools:
- AIVA queries project data: When working within a project, AIVA can query data from all samples in the project. Ask questions like "How many pathogenic-flagged variants are across all samples in this project?"
- Flags visible in the data table: Flagged variants are highlighted in the Data Table, so all team members see the same annotations.
- Comments as discussion threads: Use threaded comments to discuss variant interpretations directly on the variant row, keeping the conversation attached to the data.
- ACMG classification: The ACMG classifier lets team members independently assess variants and compare classifications.