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.
