symclatron: symbiont classifier
Project description
symclatron: symbiont classifier
ML-based classification of microbial symbiotic lifestyles
symclatron is a tool that classifies microbial genomes (protein FASTA, or nucleotide FASTA with automatic protein prediction) into three symbiotic lifestyle categories:
- Free-living
- Symbiont; Host-associated
- Symbiont; Obligate-intracellular
Installation and quick start
Recommended install paths are Pixi (recommended) or Mamba/Conda.
Option 1: Pixi (recommended)
Install pixi:
curl -fsSL https://pixi.sh/install.sh | sh
More information about pixi can be found in the pixi documentation.
Install, setup, and test:
pixi global install -c conda-forge -c bioconda -c https://repo.prefix.dev/astrogenomics symclatron
symclatron setup
symclatron test
# Outputs are written under `test_output_symclatron/proteins` and `test_output_symclatron/contigs` (or under `--output-dir` if provided).
Option 2: Mamba or Conda
mamba create -n symclatron-0.9.3 -c conda-forge -c bioconda -c https://repo.prefix.dev/astrogenomics symclatron
mamba run -n symclatron-0.9.3 symclatron setup
mamba run -n symclatron-0.9.3 symclatron test
# Outputs are written under `test_output_symclatron/proteins` and `test_output_symclatron/contigs` (or under `--output-dir` if provided).
Setup data (required)
Before using symclatron for the first time, you need to download the required database files. This only needs to be done once.
symclatron setup
Input file requirements
- Input: a directory with one genome per file
- Supported FASTA types:
- Proteins (recommended):
.faa(also accepts common protein FASTA suffixes, optionally gzipped) - Nucleotide contigs/assemblies:
.fa,.fna,.fasta(proteins predicted withpyrodigal) - Nucleotide genes/CDS:
.ffn,.fnn(translated in-frame)
- Proteins (recommended):
- Quality: Complete or near-complete genomes recommended, but good performance for MQ MAGs are expected
symclatron auto-detects whether each input file contains proteins, genes, or contigs and converts nucleotide inputs to proteins before running the standard workflow.
If your nucleotide file extensions are ambiguous, you can override detection with --input-kind contigs or --input-kind genes.
Classify your genomes
# Protein FASTA input
symclatron classify --genome-dir /path/to/genomes/ --output-dir results/
# Nucleotide contigs/assemblies input (auto protein prediction)
symclatron classify --genome-dir /path/to/contigs/ --output-dir results/
# Ambiguous nucleotide files: force contig mode and only use .fna files
symclatron classify --genome-dir /path/to/inputs/ --input-kind contigs --input-ext .fna --output-dir results/
Getting help
symclatron --help
# Command-specific help
symclatron classify --help
symclatron setup --help
# Show version and information
symclatron --version
Classification command
The main classification command with all options:
symclatron classify [OPTIONS]
Options:
--genome-dir, -i: Directory (or FASTA file) containing genome inputs (.faa/.fa/.fna/.fasta/.ffn/.fnn) [default: input_genomes]--input-kind: Force input kind:auto,proteins,genes,contigs[default: auto]--input-ext: Only include files with these extensions (repeatable), e.g.--input-ext .fna(also matches.fna.gz)--output-dir, -o: Output directory for results [default: output_symclatron]--keep-tmp: Keep temporary files for debugging--threads, -t: Number of threads for HMMER searches [default: 2]--quiet, -q: Suppress progress messages--verbose: Show detailed progress information
Examples:
# Basic usage
symclatron classify --genome-dir genomes/ --output-dir results/
# With more threads and keeping temporary files
symclatron classify -i genomes/ -o results/ --threads 8 --keep-tmp
# Quiet mode
symclatron classify --genome-dir genomes/ --quiet
# Verbose mode with detailed progress
symclatron classify --genome-dir genomes/ --verbose
Results
The classification results are saved in the specified output directory:
Main output files
-
symclatron_results.tsv- Main classification results with columns:taxon_oid- Genome identifiercompleteness_UNI56- Completeness metric based on universal marker genesconfidence- Overall confidence score for the classificationclassification- Final classification label:Free-livingSymbiont;Host-associatedSymbiont;Obligate-intracellular
-
classification_summary.txt- Summary report with statistics -
Log files - Detailed execution logs with timestamps
Debug files
When using --keep-tmp, intermediate files are preserved in tmp/ directory for analysis.
Performance
symclatron is designed for efficiency:
- >2 minutes per genome on consumer-level laptops
- Most recent benchmark: 306 genomes in ~162 minutes (1.9 min/genome)
- Memory efficient - suitable for standard workstations
Container usage
Apptainer/Singularity
Pull the latest container:
apptainer pull docker://docker.io/astrogenomics/symclatron:latest
Citation
If you use symclatron in your research, please cite:
A genomic catalog of Earth’s bacterial and archaeal symbionts. Juan C. Villada, Yumary M. Vasquez, Gitta Szabo, Ewan Whittaker-Walker, Miguel F. Romero, Sarina Qin, Neha Varghese, Emiley A. Eloe-Fadrosh, Nikos C. Kyrpides, SymGs data consortium, Axel Visel, Tanja Woyke, Frederik Schulz bioRxiv 2025.05.29.656868; doi: https://doi.org/10.1101/2025.05.29.656868
Support
- Repository: https://github.com/NeLLi-team/symclatron
- Issues: https://github.com/NeLLi-team/symclatron/issues
- Author: Juan C. Villada jvillada@lbl.gov
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