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ViroConstrictor

imported

software/viroconstrictor

ViroConstrictor is a pipeline designed to process raw FastQ data from viral amplicon-based sequencing and generate biologically correct consensus sequences of the given viral genome

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

record
Category
Software & Systems
Subcategory
unknown
License
AGPL-3.0(osi)
Status
active
Maturity
deployed
Organization
RIVM-bioinformatics
Country
unknown
Documentation
unknown
Tags
analysis · bioinformatics · consensus-sequences · ngs-analysis · public-health · python · rivm · snakemake
Regulatory
unknown
built by · 6

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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    Metagenomics/viromics pipeline that focuses on automation, user-friendliness and a clear audit trail. Jovian aims to empower classical biologists and wet-lab personnel to do metagenomics/viromics…

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    Genomic interval operations on Pandas DataFrames

  • CSBB-Shinyngs-analysis

    Computational Suite for Bioinformaticians and Biologists (CSBB) is a RShiny application developed with an intention to empower researchers from wet and dry lab to perform downstream Bioinformatics…

  • GitHub for the SIB courses NGS - Genome variant analysis

  • dea_seuratbioinformatics · snakemake

    A Snakemake workflow and MrBiomics module for performing differential expression analyses (DEA) on (multimodal) sc/snRNA-seq data powered by the R package Seurat.

sources
  1. api.github.com/repos/RIVM-bioinformatics/ViroConstrictor
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-07-30, 9 stars, license reported as AGPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/61.json→ .entries["viroconstrictor"]

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