A comprehensive guide to managing preclinical research data with precision and compliance.
Structure your research into projects. Each project acts as a secure container with its own team members, ethical approvals, and experimental data.
Manage animal groups with full metadata tracking. Supports randomization, ethical oversight, and biological model linking.
Precliniverse is built for regulatory excellence. Every data point is tracked through a resource-efficient audit logging system.
All features are accessible via our RESTful API. Use your API Token from the Settings page to authenticate.
GET /api/projects/
List Projects
curl -X GET "https://app.precliniverse.com/api/projects/" \
-H "Authorization: Bearer YOUR_TOKEN"
[
{
"id": 1,
"name": "Alzheimer Study 2024",
"slug": "alz-24",
"team_id": 5
}
]
PATCH /api/groups/{id}
Update Group Status
# Python Example
import requests
url = "https://app.precliniverse.com/api/groups/grp-xyz"
headers = {"Authorization": "Bearer YOUR_TOKEN"}
data = {"status": "completed"}
response = requests.patch(url, json=data, headers=headers)
print(response.json())
Ensure you have established Ethical Approvals and Animal Models in the Resources section.
Create a new project and assign your team members.
Add experimental groups to your project. Upload animal data via Excel for bulk setup.