2014
DOI: 10.1128/jcm.02981-13
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Benchmarking of Methods for Genomic Taxonomy

Abstract: One of the first issues that emerges when a prokaryotic organism of interest is encountered is the question of what it is-that is, which species it is. The 16S rRNA gene formed the basis of the first method for sequence-based taxonomy and has had a tremendous impact on the field of microbiology. Nevertheless, the method has been found to have a number of shortcomings. In the current study, we trained and benchmarked five methods for whole-genome sequence-based prokaryotic species identification on a common dat… Show more

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Cited by 282 publications
(208 citation statements)
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References 51 publications
(56 reference statements)
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“…KmerFinder is a novel program/database for rapid species identifica-tion using WGS data (36). Briefly, 1,647 (in a later update 5,029) complete bacterial genomes were downloaded from NCBI, and each k-mer (k ϭ 16) with the prefix ATGAC was saved in a database using an in-house script.…”
Section: Methodsmentioning
confidence: 99%
“…KmerFinder is a novel program/database for rapid species identifica-tion using WGS data (36). Briefly, 1,647 (in a later update 5,029) complete bacterial genomes were downloaded from NCBI, and each k-mer (k ϭ 16) with the prefix ATGAC was saved in a database using an in-house script.…”
Section: Methodsmentioning
confidence: 99%
“…The challenge now at stake for genomic Microbial taxonomy is to examine how the existing genomic databases, bioinformatics tools, and access facilities may be further developed into prototypes to be further tested and discussed. Automated methods such as the ones benchmarked by Larsen et al (2014) will enable the use of WGS for higher resolution and more phylogenetically accurate classifications. It has been noticed that to date, microbial taxonomy has barely taken the wealth of information contained in completed sequenced genomes into account .…”
Section: Statements Arguing In Favor Of a Genomic Microbial Taxonomymentioning
confidence: 99%
“…Assembled genomes were uploaded to the online bioinformatics tools KmerFinder v2.0, ResFinder v2.1, and MLST v1.7 (Center for Genomic Epidemiology, Technical University of Denmark, Lingby, Denmark) (32)(33)(34). Species identification was based on the "winner takes it all" scoring method of KmerFinder.…”
Section: Esbl-e Isolatesmentioning
confidence: 99%