Summary
Genomics portals, queryable in a sentence.
Instead of learning five portals you ask what collections exist, what a table's fields are, and how many variants match — then drop into SQL when the question gets specific.
What it is
A Node server wrapping the Omics AI Python library. It browses collections and tables across Omics AI Explorer networks, reads their schemas, and queries them with filters or with SQL.
What you get
- list_collections discovers what a network holds; list_tables browses inside a collection by collection_slug
- get_schema_fields returns a table's fields and their types before you write a query
- query_table queries with filters, pagination and order_by
- count_rows counts what matches without pulling the rows back
- sql_search runs Trino SQL directly for anything the structured path will not express
- Reaches HiFi Solves, Neuroscience AI, ASAP, Viral AI and Target ALS by name, or any network by URL
Requirements
Node and npm: clone the repository and run `npm start`. Public collections need no credentials — access_token is an optional parameter for the ones that do.
Setup effort
Build from source — clone the repository and build it, then point your client at the binary