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gpn

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software/gpn

Genomic Pre-trained Network

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

record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
songlab-cal
Country
unknown
Documentation
unknown
Tags
dna · genomics · language-model · variant-effect-prediction
Regulatory
unknown
built by · 4

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.

  • deepsomaticdna · genomics

    DeepSomatic is an analysis pipeline that uses a deep neural network to call somatic variants from tumor-normal and tumor-only sequencing data.

  • deepvariantdna · genomics

    DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

  • hoobaridna · genomics

    Bayesian-based fetal genotyping using maternal cell-free DNA and parental sequencing data.

  • kevlardna · genomics

    Reference-free variant discovery in large eukaryotic genomes

  • metagraphdna · genomics

    Scalable annotated de Bruijn graphs for DNA indexing, alignment, and assembly

  • This highly visual and responsive VB6 application is an implementation of the global sequence alignment algorithm. It allows the modification of the alignment parameters (match, mismatch, gap), and…

sources
  1. api.github.com/repos/songlab-cal/gpn
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-07-25, 349 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/4.json→ .entries["gpn"]

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