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phyddle

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software/phyddle

Phylogenetic model exploration with deep learning

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

phyddle project image
GitHub preview card for mlandis/phyddle. 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
unknown
Country
unknown
Homepage
phyddle.org
Documentation
unknown
Tags
deep-learning · epidemiology · evolution · phylogenetics · statistical-models · stochastic-processes
Regulatory
unknown
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.

  • epi.branch.simepidemiology · stochastic-processes

    Stochastic epidemiological branching simulation

  • BUSCO_phylogenomicsevolution · phylogenetics

    BUSCO_Phylogenomics | Pipeline to construct species phylogenies using BUSCO proteins

  • ClipKITevolution · phylogenetics

    a multiple sequence alignment-trimming algorithm for accurate phylogenomic inference

  • orthofisherevolution · phylogenetics

    a broadly applicable tool for automated gene identification and retrieval

  • orthosnapevolution · phylogenetics

    a tree splitting and pruning algorithm for retrieving single-copy orthologs from gene family trees

  • PhyKITevolution · phylogenetics

    a UNIX shell toolkit for processing and analyzing multiple sequence alignments and phylogenies

sources
  1. api.github.com/repos/mlandis/phyddle
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-06-15, 12 stars, license reported as NOASSERTION. Category and schematic were assigned by keyword heuristics and are unreviewed. GitHub reported NOASSERTION; the licence was read from the LICENSE file as MIT, because GitHub's detector does not recognise open hardware licences.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/15.json→ .entries["phyddle"]

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