Welcome to ChunLab's Orthologous Average Nucleotide Identity Tool (OAT), a similarity measurement tool for genomes.
OAT uses OrthoANI to measure the overall similarity between two genome sequences. ANI and OrthoANI are comparable algorithms: they share the same species demarcation cut-off at 95~96% and large comparison studies have demonstrated both algorithms to produce near identical reciprocal similarities. Details of the OrthoANI algorithm is given in (Lee et al. 2015). OAT employs an easy-to-follow Graphical User Interface that allow researchers to calculate OrthoANI values between genomes of interest without unfamiliar Command Line Environments. Moreover, the OAT_cmd command-line software can be integrated into preexisting bioinformatics pipelines.
(2015-10-26) GGDC calculator is updated (http://ggdc.dsmz.de/), calculating GGDC1, GGDC2, and GGDC3.
(2017-06-14) User can now specify the number of worker threads.
Genome FASTA files.
Citing this software
Lee, I., Kim, Y. O., Park, S. C., & Chun, J. (2015). OrthoANI: An improved algorithm and software for calculating average nucleotide identity. Int J Syst Evol Microbiol. 66: 1100-1103.
Yeong Ouk Kim received his B.S. in Computer Science and Applied Statistics at Purdue University (2012) and is currently a MS-Ph.D candidate in Bioinformatics at Seoul National University.
Imchang Lee is currently a MS-Ph.D candidate in Bioinformatics at Seoul National University.
Sang-Cheol Park received his B.S. at Seoul National University and is currently a MS-Ph.D candidate in Bioinformatics at Seoul National University.
Jongsik Chun is a professor at Seoul National University and specializes in microbial evolution, bioinformatics, and genomics. He has been a trustee of Bergey’s Manual Trust since 2010 and is also the founder of ChunLab, Inc.