EzBioCloud: a genome-driven database and platform for microbiome identification and discovery

Seoul National University

PubMed
Indexed incrossrefpubmed

Abstract

With the continued evolution of DNA sequencing technologies, the role of genome sequence data has become more integral in the classification and identification of Bacteria and Archaea. Six years after introducing EzBioCloud, an integrated platform representing the taxonomic hierarchy of Bacteria and Archaea through quality-controlled 16S rRNA gene and genome sequences, we present an updated version, that further refines and expands its capabilities. The current update recognizes the growing need for accurate taxonomic information as defining a species increasingly relies on genome sequence comparisons. We also incorporated an advanced strategy for addressing underrepresented or less studied lineages,…

Citation impact

324
total citations
FWCI
67.97
Percentile
100%
References
20
Citations per year

Authors

15

Topics & keywords

Keywords
  • Biology
  • Genome
  • Computational biology
  • Genetics
  • Bacterial taxonomy
  • Identification (biology)
  • 16S ribosomal RNA
  • Reference genome
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