bioRxiv preprint doi: https://doi.org/10.1101/2020.01.15.908137; this version posted January 16, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Title: Expanding the utility of sequence comparisons using data from whole genomes Sean Gosselina,*, Matthew S. Fullmera,c,*, Yutian Fenga, and Johann Peter Gogartena,b a Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, 06268-3125, USA bInstitute for Systems Genomics, University of Connecticut, Storrs, CT, 06268-3125, USA c Current address: Bioinformatics Institute, School of Biological Sciences, The University of Auckland, Auckland 1010, New Zealand * Authors contributed equally Corresponding Author: Johann Peter Gogarten, Department of Molecular and Cell Biology, University of Con- necticut, 91 North Eagleville Rd, Storrs, CT, 06268-3125, USA, Email:
[email protected]; phone 1 860 486 4061, +ORCID ID: https://orcid.org/0000-0001-6459-6518 bioRxiv preprint doi: https://doi.org/10.1101/2020.01.15.908137; this version posted January 16, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Abstract Whole genome comparisons based on Average Nucleotide Identities (ANI), and the Genome-to-genome distance calculator have risen to prominence in rapidly classify- ing taxa using whole genome sequences.