ArticleNAR genomics and bioinformatics2025
PyOrthoANI, PyFastANI, and Pyskani: a suite of Python libraries for computation of average nucleotide identity.
Article in NAR genomics and bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- Novel Thermophilic Species ofLife (Basel, Switzerland) · 2026Article
- Detection of an ExPEC-likeBiotech (Basel (Switzerland)) · 2026Article
- Enrichment and characterization of a haloalkaline-tolerant anammox bacterium.The ISME journal · 2026Article
- Identification of robust species-specific marker genes for the demarcation of theJournal of medical microbiology · 2025Article
- EvANI benchmarking workflow for evolutionary distance estimation.Briefings in bioinformatics · 2025Article
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3 authors.
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Abstract
The average nucleotide identity (ANI) metric has become the gold standard for prokaryotic species delineation in the genomics era. The most popular ANI algorithms are available as command-line tools and/or web applications, making it inconvenient to incorporate them into bioinformatic workflows, which utilize the popular Python programming language. Here, we present PyOrthoANI, PyFastANI, and Pyskani, Python libraries for three popular ANI computation methods. ANI values produced by PyOrthoANI, PyFastANI, and Pyskani are virtually identical to those produced by OrthoANI, FastANI, and skani, respectively (adjusted
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