openmedical/registry
← registry

chorus

imported

software/chorus

One interface to nine genomic deep-learning oracles — variant effect prediction, calibrated per-track percentiles, and plain-English analysis through MCP.

Machine-generated from the listed sources and not yet reviewed by a human.

chorus project image
GitHub preview card for pinellolab/chorus. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
pinellolab
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
alphagenome · bioinformatics · deep-learning · enformer · genomics · mcp · regulatory-genomics · variant-effect-prediction
Regulatory
unknown
built by · 5

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • gpngenomics · variant-effect-prediction

    Genomic Pre-trained Network

  • EUGENebioinformatics · genomics · regulatory-genomics

    Elucidating the Utility of Genomic Elements with Neural Nets

  • DNA-Diffusiongenomics · regulatory-genomics

    🧬 Generative modeling of regulatory DNA sequences with diffusion probabilistic models 💨

  • craftgrnbioinformatics · regulatory-genomics

    Combined RNA and ATAC Footprint Training of Gene Regulatory Network

  • fp-toolsbioinformatics · regulatory-genomics

    Command-first ATAC-seq footprinting, motif analysis, and reproducible interactive reports

  • biomcpbioinformatics · genomics · mcp

    BioMCP: Biomedical Model Context Protocol

sources
  1. api.github.com/repos/pinellolab/chorus
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-20, 61 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/51.json→ .entries["chorus"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.