Limited research preview for literature-grounded GRN modeling
The AI workspace for building evidence-linked gene regulatory networks.
Turn biological literature, source files, and structured data into reviewable regulatory maps with source evidence preserved.
BioTrellis workspace
Example artifact: Pmar1-centered micromere GRN in sea urchin development.Literature-backed map with provenance and expert curation.
Product
One workspace for maps, sources, and biological context.
Literature GRNs
Generate reviewable regulatory maps from papers and uploaded sources.
Map workspace
Inspect BioTapestry-style networks with evidence attached to relations.
Research data layers
Bring source files, knowledge, and structured tables into one modeling surface.
Platform
From papers to models researchers can inspect.
01
Sources
Search papers or upload PDFs.
02
Extraction
Locate passages and extract typed biological relations.
03
Artifacts
Render evidence-linked GRNs for review.
Evidence
Evidence stays attached to the map.
Evidence memory
Source passages, relation batches, and provenance stay tied to the network.
Network projection
Typed findings become GRN maps, edge tables, and reviewable artifacts.
Expert review
Researchers inspect sources, curate maps, and compare model drafts.
Contact
Join the research preview.
We are inviting early researchers and advisors before opening broader access.