openmedical/registry
← registry

veritig

imported

software/veritig

Sequence-level verification of structural variant assemblies against haplotype-resolved references

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
unknown
Country
unknown
Documentation
unknown
Tags
bioinformatics · genomics · long-read-sequencing · pangenome · structural-variants · variant-calling
Regulatory
unknown
built by · 1

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.

  • gatk-svbioinformatics · genomics · structural-variants

    A structural variation pipeline for short-read sequencing

  • poodlebioinformatics · pangenome

    Nextflow pipeline that integrates reference-based SNP calling, recombination filtering, and pangenome analysis to detect genetically linked isolates, designed for bacterial genomic surveillance and…

  • variantbenchmarkingstructural-variants · variant-calling

    Pipeline to evaluate and validate the accuracy of variant calling methods in genomic research

  • ClairSbioinformatics · genomics · long-read-sequencing

    ClairS: a deep-learning method for long-read tumor–normal pair somatic small variant calling

  • ClairS-TObioinformatics · genomics · long-read-sequencing

    ClairS-TO - a deep-learning method for tumor-only somatic variant calling

  • RUN-DVCbioinformatics · genomics · long-read-sequencing

    Generalizing deep learning-based variant callers via domain adaptation and semi-supervised learning

sources
  1. api.github.com/repos/asylvz/veritig
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-02, 3 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/63.json→ .entries["veritig"]

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