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NanoVarBench

imported

software/nanovarbench

Evaluating Nanopore-based bacterial variant calling

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

record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
bacteria · benchmark · bioinformatics · illumina · microbial-genomics · nanopore · 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.

  • ClairS-TObioinformatics · illumina · nanopore

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

  • baktabacteria · bioinformatics · microbial-genomics

    Rapid & standardized annotation of bacterial genomes, MAGs & plasmids

  • nf-ncov-vocbioinformatics · microbial-genomics · variant-calling

    A Nextflow wrapped workflow for generating the mutation profiles of SARS-CoV-2 or Mpox genomes. Workflow is developed in collaboration with VIRUS-MVP (https://github.com/cidgoh/VIRUS-MVP) which can…

  • tbporebioinformatics · nanopore · variant-calling

    Mycobacterium tuberculosis genomic analysis from Nanopore sequencing data

  • snippybacteria · bioinformatics · variant-calling

    :scissors: :zap: Rapid haploid variant calling and core genome alignment

  • WGS-Analysis-VariantCallingillumina · variant-calling

    Nextflow pipeline for whole-genome sequencing (WGS) analysis and variant calling in bacterial genomes using Illumina data, supporting de novo assembly and reference-based analysis.

sources
  1. api.github.com/repos/mbhall88/NanoVarBench
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2025-07-23, 23 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

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machine-readable

/v1/entries/58.json→ .entries["nanovarbench"]

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