A large-scale evaluation of algorithms to calculate average nucleotide identity

By Seok-Hwan Yoon, Sung-min Ha, Jeongmin Lim, Soonjae Kwon, Jongsik Chun. Antonie van Leeuwenhoek, 2017

3,244 citations recorded by the source corpus.

Subfields: Food Science, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/075894fde81edec3c72a69104163abd991a6635e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

1. Jongsik Chun
2. A. Oren
3. Andrew Kropinski
4. A. Varsani
5. Cristina Moraru

Citations in the corpus

• VIRIDIC—A Novel Tool to Calculate the Intergenomic Similarities of Prokaryote-Infecting Viruses (2020, background): “These 44 include Average Nucleotide Identity (ANI; ANI Calculator; (Goris et al. 2007; Yoon et al. 2017; Han 45 et al. 2016), OrthoANI (Lee et al.”
• Proposed minimal standards for the use of genome data for the taxonomy of prokaryotes. (2018, methodology): “Several software tools for calculating the original ANI and its improved versions were developed for taxonomic purposes [5, 8, 9, 30].”
• Using average nucleotide identity to improve taxonomic assignments in prokaryotic genomes at the NCBI (2018, neutral): “Several algorithms already incorporate this measure [13].”