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FooDMe

imported

software/foodme

A reproducible and scalable snakemake workflow for the analysis of DNA metabarcoding experiments, with a special focus on food and feed samples.

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

record
Category
Software & Systems
Subcategory
unknown
License
BSD-3-Clause(osi)
Status
dormant
Maturity
deployed
Organization
CVUA-RRW
Country
unknown
Documentation
unknown
Tags
bioinformatics · food-authenticity · food-monitoring · metabarcoding · ngs · ngs-pipeline · pipeline · public-health
Regulatory
unknown
built by · 2

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.

  • CSBB-Shinyngs · ngs-pipeline

    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…

  • dada2bioinformatics · metabarcoding

    Accurate sample inference from amplicon data with single nucleotide resolution

  • snipgeniebioinformatics · ngs-pipeline

    command line and desktop tool for microbial variant calling

  • Invasive species pose a significant threat to global biodiversity and the stability of ecosystems. Although environmental DNA (eDNA)-based quantitative PCR is considered effective, its limited…

  • snpkitngs · pipeline

    Modular workflow for Microbial Variant Calling and SNP diagnostics.

  • viralmetagenomengs · pipeline

    A nf-core pipeline for untargeted whole genome reconstruction with iSNV detection from metagenomic samples.

sources
  1. api.github.com/repos/CVUA-RRW/FooDMe
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2024-09-20, 3 stars, license reported as BSD-3-Clause. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/43.json→ .entries["foodme"]

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