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NCHHSTP-DTBE-Varpipe-WGS

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software/nchhstp-dtbe-varpipe-wgs

This repository contains an analysis pipeline developed to characterize WGS output

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

NCHHSTP-DTBE-Varpipe-WGS project image
GitHub preview card for CDCgov/NCHHSTP-DTBE-Varpipe-WGS. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
Apache-2.0(osi)
Status
active
Maturity
deployed
Organization
CDCgov
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
bioinformatics · bioinformatics-pipeline · genomics · pipeline · variant-annotations · variant-calling
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.

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    kGWASflow is a Snakemake workflow for performing k-mers-based GWAS.

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    Pipeline to detect PAVs (presence/absence variations) in genome comparison using whole genome alignment.

  • snakemake-illumina-gatkvariantbioinformatics · variant-annotations · variant-calling

    A Snakemake workflow for variant calling using GATK4 best practices

  • echtvargenomics · variant-annotations

    using all the bits for echt rapid variant annotation and filtering

  • walkercreekbioinformatics · genomics · pipeline · variant-calling

    A Nextflow pipeline for viral genomics (Influenza/RSV) supporting Illumina and Nanopore sequencing of clinical and wastewater samples.

sources
  1. api.github.com/repos/CDCgov/NCHHSTP-DTBE-Varpipe-WGS
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-05-19, 8 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/53.json→ .entries["nchhstp-dtbe-varpipe-wgs"]

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