openmedical/registry
← registry

Metagenomic-DeepFRI

imported

software/metagenomic-deepfri

Pipeline for searching and aligning contact maps for proteins, then running DeepFri's GCN.

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

Metagenomic-DeepFRI project image
GitHub preview card for Tomasz-Lab/Metagenomic-DeepFRI. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
BSD-3-Clause(osi)
Status
active
Maturity
deployed
Organization
Tomasz-Lab
Country
unknown
Documentation
unknown
Tags
genomics · mmseqs · protein-function-prediction · protein-sequences · protein-structure
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.

  • pypdbprotein-sequences · protein-structure

    A Python API for the RCSB Protein Data Bank (PDB)

  • MMseqs2mmseqs

    MMseqs2: ultra fast and sensitive search and clustering suite

  • MMseqs2 app to run on your workstation or servers

  • agi-biogenomics · protein-sequences

    Genomic and Proteomic data exploration and pattern mining

  • biopythongenomics · protein-structure

    Official git repository for Biopython (originally converted from CVS)

  • biojavagenomics · protein-sequences

    :book::microscope::coffee: BioJava is an open-source project dedicated to providing a Java library for processing biological data.

sources
  1. api.github.com/repos/Tomasz-Lab/Metagenomic-DeepFRI
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-18, 51 stars, license reported as BSD-3-Clause. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/30.json→ .entries["metagenomic-deepfri"]

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