BacillOndex: an integrated data resource for systems and synthetic biology.

Goksel Misirli*, Anil Wipat, Joseph Mullen, Katherine James, Matthew Pocock, Wendy Smith, Nick Allenby, Jennifer S. Hallinan

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    7 Citations (Scopus)

    Abstract

    BacillOndex is an extension of the Ondex data integration system, providing a semantically annotated, integrated knowledge base for the model Gram-positive bacterium Bacillus subtilis. This application allows a user to mine a variety of B. subtilis data sources, and analyse the resulting integrated dataset, which contains data about genes, gene products and their interactions. The data can be analysed either manually, by browsing using Ondex, or computationally via a Web services interface. We describe the process of creating a BacillOndex instance, and describe the use of the system for the analysis of single nucleotide polymorphisms in B. subtilis Marburg. The Marburg strain is the progenitor of the widely-used laboratory strain B. subtilis 168. We identified 27 SNPs with predictable phenotypic effects, including genetic traits for known phenotypes. We conclude that BacillOndex is a valuable tool for the systems-level investigation of, and hypothesis generation about, this important biotechnology workhorse. Such understanding contributes to our ability to construct synthetic genetic circuits in this organism.

    Original languageEnglish
    Article number224
    Pages (from-to)1-14
    Number of pages14
    JournalJournal of Integrative Bioinformatics
    Volume10
    Issue number2
    Publication statusPublished - 2013

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