SKILL.md
Version Compatibility
Reference examples tested with: DADA2 1.30+, QIIME2 2024.2+, phyloseq 1.46+, scanpy 1.10+, scikit-learn 1.4+
Before using code patterns, verify installed versions match. If versions differ:
- R:
packageVersion('<pkg>')then?function_nameto verify parameters - CLI:
<tool> --versionthen<tool> --helpto confirm flags
If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying.
Taxonomy Assignment
"Assign taxonomy to my ASVs" → Classify amplicon sequence variants against reference databases (SILVA, GTDB, UNITE) using naive Bayes or exact-matching approaches for taxonomic annotation.
- R:
dada2::assignTaxonomy()with SILVA/GTDB reference - CLI:
qiime feature-classifier classify-sklearnfor QIIME2 workflows
DADA2 Naive Bayes Classifier
library(dada2)
seqtab_nochim <- readRDS('seqtab_nochim.rds')
# SILVA for 16S (download from https://zenodo.org/record/4587955)
taxa <- assignTaxonomy(seqtab_nochim, 'silva_nr99_v138.1_train_set.fa.gz',
multithread = TRUE)
# Add species-level (exact matching)
taxa <- addSpecies(taxa, 'silva_species_assignment_v138.1.fa.gz')
# Check results
head(taxa)
GTDB for 16S
# GTDB-formatted database (better for environmental samples)
taxa_gtdb <- assignTaxonomy(seqtab_nochim, 'GTDB_bac120_arc53_ssu_r220_fullTaxo.fa.gz',
multithread = TRUE)
UNITE for ITS (Fungi)
# UNITE database for fungal ITS
taxa_its <- assignTaxonomy(seqtab_nochim, 'sh_general_release_dynamic_25.07.2023.fasta',
multithread = TRUE)
QIIME2 Feature Classifier
# Train classifier (one-time)
qiime feature-classifier fit-classifier-naive-bayes \
--i-reference-reads silva-138-99-seqs.qza \
--i-reference-taxonomy silva-138-99-tax.qza \
--o-classifier silva-138-99-nb-classifier.qza
# Classify ASVs
qiime feature-classifier classify-sklearn \
--i-classifier silva-138-99-nb-classifier.qza \
--i-reads rep-seqs.qza \
--o-classification taxonomy.qza
