kaiju
importedsoftware/kaiju
Fast taxonomic classification of metagenomic sequencing reads using a protein reference database
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- active
- Maturity
- deployed
- Organization
- bioinformatics-centre
- Country
- unknown
- Homepage
- kaiju.binf.ku.dk
- Repository
- github.com/bioinformatics-centre/kaiju
- Documentation
- unknown
- Tags
- bioinformatics · metagenomics · next-generation-sequencing · taxonomic-classification · taxonomy
- Regulatory
- unknown
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.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- Metabulibioinformatics · metagenomics · taxonomic-classification · taxonomy
Metabuli: specific and sensitive metagenomic classification via joint analysis of DNA and amino acid.
- taxprofilerbioinformatics · metagenomics · taxonomic-classification
Highly parallelised multi-taxonomic profiling of shotgun short- and long-read metagenomic data
- dada2bioinformatics · metagenomics · taxonomy
Accurate sample inference from amplicon data with single nucleotide resolution
- GTDBTkbioinformatics · metagenomics · taxonomy
GTDB-Tk: a toolkit for assigning objective taxonomic classifications to bacterial and archaeal genomes.
- ANIclustermapbioinformatics · taxonomy
A tool for drawing ANI clustermap between all-vs-all microbial genomes
- migabioinformatics · taxonomy
MiGA: Microbial Genomes Atlas
- api.github.com/repos/bioinformatics-centre/kaijuretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-06-09, 305 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/41.json→ .entries["kaiju"]
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