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CAMITAX: Taxon labels for microbial genomes
- Source :
- GigaScience
- Publication Year :
- 2020
- Publisher :
- Oxford University Press (OUP), 2020.
-
Abstract
- Background The number of microbial genome sequences is increasing exponentially, especially thanks to recent advances in recovering complete or near-complete genomes from metagenomes and single cells. Assigning reliable taxon labels to genomes is key and often a prerequisite for downstream analyses. Findings We introduce CAMITAX, a scalable and reproducible workflow for the taxonomic labelling of microbial genomes recovered from isolates, single cells, and metagenomes. CAMITAX combines genome distance–, 16S ribosomal RNA gene–, and gene homology–based taxonomic assignments with phylogenetic placement. It uses Nextflow to orchestrate reference databases and software containers and thus combines ease of installation and use with computational reproducibility. We evaluated the method on several hundred metagenome-assembled genomes with high-quality taxonomic annotations from the TARA Oceans project, and we show that the ensemble classification method in CAMITAX improved on all individual methods across tested ranks. Conclusions While we initially developed CAMITAX to aid the Critical Assessment of Metagenome Interpretation (CAMI) initiative, it evolved into a comprehensive software package to reliably assign taxon labels to microbial genomes. CAMITAX is available under Apache License 2.0 at https://github.com/CAMI-challenge/CAMITAX.
- Subjects :
- Microbial Genomes
Reproducible Research
Health Informatics
Computational biology
Genome Taxonomy
Biology
Genome
03 medical and health sciences
0302 clinical medicine
RNA, Ribosomal, 16S
Databases, Genetic
Technical Note
DNA Barcoding, Taxonomic
Gene
Phylogeny
Phylogenetic Placement
030304 developmental biology
0303 health sciences
Docker
Phylogenetic tree
030306 microbiology
Computational Biology
Computer Science Applications
Nextflow
Genome, Microbial
CAMI
Taxon
Metagenomics
Metagenome
Classification methods
Gene homology
Critical assessment
Algorithms
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 2047217X
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- GigaScience
- Accession number :
- edsair.doi.dedup.....db47b098a9540bffcda4e5e0f87702a5
- Full Text :
- https://doi.org/10.1093/gigascience/giz154