Comparative Genomics (CG)

Comparative Genomics (CG)

The goals of comparative genomics (CG) of bacteria are
(1) to discover useful biomarkers, and
(2) understand the mechanism of the evolution.
We, a team at ChunLab Inc., are delighted to support comprehensive CG services for the users of EzBioCloud. The present version of EzBioCloud CG contains the following analyses from a set of multiple genomes:
  • Phylogenomic tree based on whole-genome SNP (Coming soon)
  • UPMGA dendrogram based on average nucleotide identity
  • Core/Pan-genome analysis
  • Biomarker discovery (differentially present genes among groups)
  • A web interface for comparative analysis based on reciprocal relations of gene(s) which provides identification mobile genomic island(s)
  • BLAST-search against all genes or genes included in the pan-genome

The science behind our CG algorithm

The algorithms incorporated in your CG pipeline were published in Chun et. al. (2009)1 and Ha et. al. (2019)2. 1 2

Publications based on EzBioCloud CG analysis

  • Comparative Genomic Analysis of the 2016 Vibrio cholerae Outbreak in South Korea

    Ha et. al.(2019) doi: 10.3389/fpubh.2019.00228.
  • Comparative genomic analysis of subspecies of Pantoea stewartii reveals distinct variations

    Li et. al.(2019) doi: 10.1007/s42161-019-00328-0.
  • Genomic characterization of Nocardia seriolae strains isolated from diseased fish

    Han et. al.(2018) doi: 10.1002/mbo3.656.
  • Genome sequence of Mycobacterium yongonense RT 955-2015 isolate from a patient misdiagnosed with multidrug-resistant tuberculosis: First clinical detection in Tanzania

    Mnyambwa et. al.(2018) doi: 10.1016/j.ijid.2018.04.796.
  • Comparative Genomics of Thalassobius Including the Description of Thalassobius activus sp. nov., and Thalassobius autumnalis sp. nov.

    Pujalte et. al.(2018) doi: 10.3389/fmicb.2017.02645.