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FusoBase: an online Fusobacterium comparative genomic analysis platform

Lookup NU author(s): Professor Nicholas JakubovicsORCiD



This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Fusobacterium are anaerobic gram-negative bacteria that have been associated with a wide spectrum of human infections and diseases. As the biology of Fusobacterium is still not well understood, comparative genomic analysis on members of this species will provide further insights on their taxonomy, phylogeny, pathogenicity and other information that may contribute to better management of infections and diseases. To facilitate the ongoing genomic research on Fusobacterium, a specialized database with easy-to-use analysis tools is necessary. Here we present FusoBase, an online database providing access to genome-wide annotated sequences of Fusobacterium strains as well as bioinformatics tools, to support the expanding scientific community. Using our custom-developed Pairwise Genome Comparison tool, we demonstrate how differences between two user-defined genomes and how insertion of putative prophages can be identified. In addition, Pathogenomics Profiling Tool is capable of clustering predicted genes across Fusobacterium strains and visualizing the results in the form of a heat map with dendrogram.

Publication metadata

Author(s): Ang MY, Heydari H, Jakubovics NS, Mahmud MI, Dutta A, Wee WY, Wong GJ, Mutha NVR, Tan SY, Choo SW

Publication type: Article

Publication status: Published

Journal: Database

Year: 2014

Volume: 2014

Pages: fusobase

Online publication date: 22/08/2014

Acceptance date: 21/07/2014

Date deposited: 16/01/2015

ISSN (electronic): 1758-0463

Publisher: Oxford University Press


DOI: 10.1093/database/bau082


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Funder referenceFunder name
PG077-2012BUniversity of Malaya and Ministry of Education, Malaysia under Postgraduate Research Grant
UM.C/HIR/MOHE/08High Impact Research (HIR)
UM.C/HIR/MOHE/08University of Malaya and Ministry of Education, Malaysia under High Impact Research (HIR) Grant