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Konstantinos T. Konstantinidis

Researcher at Georgia Institute of Technology

Publications -  301
Citations -  26227

Konstantinos T. Konstantinidis is an academic researcher from Georgia Institute of Technology. The author has contributed to research in topics: Metagenomics & Genome. The author has an hindex of 57, co-authored 262 publications receiving 19645 citations. Previous affiliations of Konstantinos T. Konstantinidis include Boğaziçi University & Massachusetts Institute of Technology.

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DNA–DNA hybridization values and their relationship to whole-genome sequence similarities

TL;DR: It is concluded that ANI can accurately replace DDH values for strains for which genome sequences are available and reveal extensive gene diversity within the current concept of "species".
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High throughput ANI analysis of 90K prokaryotic genomes reveals clear species boundaries.

TL;DR: FastANI is developed, a method to compute ANI using alignment-free approximate sequence mapping, and it is shown 95% ANI is an accurate threshold for demarcating prokaryotic species by analyzing about 90,000 proKaryotic genomes.
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Genomic insights that advance the species definition for prokaryotes

TL;DR: The average nucleotide identity of the shared genes between two strains was found to be a robust means to compare genetic relatedness among strains, and that ANI values of approximately 94% corresponded to the traditional 70% DNA-DNA reassociation standard of the current species definition.
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Minimum information about a single amplified genome (MISAG) and a metagenome-assembled genome (MIMAG) of bacteria and archaea

Robert M. Bowers, +56 more
- 01 Jul 2018 - 
TL;DR: Two standards developed by the Genomic Standards Consortium (GSC) for reporting bacterial and archaeal genome sequences are presented, including the Minimum Information about a Single Amplified Genome (MISAG) and the Minimum information about a Metagenome-Assembled Genomes (MIMAG), including estimates of genome completeness and contamination.
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Towards a Genome-Based Taxonomy for Prokaryotes

TL;DR: The AAI-based approach provides a means to evaluate the robustness of alternative genetic markers for phylogenetic purposes, and could contribute significantly to a genome-based taxonomy for all microbial organisms.