Traceable
Every figure should point back to the code, input files, databases, symbol history, and assumptions that produced it.
Live research atlas
Genes,
brain development,
and disease intersections,
made explorable.
NeuroGenAI is a living research workspace: part educational atlas, part protocol decoder, part evidence engine. The first module follows primary microcephaly genes through old R scripts, modern gene symbols, developmental expression, clinical panels, and psychiatric-neurological intersections.
Why this exists
Scientific software should teach while it computes.
Readable
Bioinformatics pipelines should explain themselves at the level of files, functions, objects, joins, plots, and biological meaning.
Current
Old scripts can stay reproducible while current HGNC symbols, PanelApp evidence, Open Targets links, and updated literature are layered on top.
Atlas modules
The first atlas is focused on primary microcephaly genes.
Available now
MCPH Intersection Atlas
Decode the inherited R protocol, rerun it with alias-normalized MCPH genes, inspect the heatmap, and build toward gene, database, and bibliography profiles.
New research layer
Microcephaly Genomics Literature Map
Follow the deep-search protocol, current reviews, 2025-2026 discovery papers, KNL1/CASC5 lineage, Gabriel Santpere's developmental-genomics work, and psychiatric cross-disorder genetics.
New gene layer
33 MCPH Gene Profiles
Read each gene as a biological mechanism, not a name in a list: centrosomes, kinetochores, cytokinesis, nuclear envelope, chromatin, trafficking, RNA processing, and vascular-metabolic support.
Roadmap
Modern Genomics Pipeline
A step-by-step plan for updating the inherited R protocol with HGNC, PanelApp, G2P, GenCC, ClinGen, BrainSpan, NeMO, Open Targets, GWAS Catalog, and pathway evidence.