Choose wisely: Network, ontology and annotation resources for the analysis of Staphylococcus aureus omics data

Broadbent, J.A., Sampson, D.L., Broszczak, D.A., Upton, Z., & Huygens, F. (2015) Choose wisely: Network, ontology and annotation resources for the analysis of Staphylococcus aureus omics data. International Journal of Medical Microbiology, 305(3), pp. 339-347.

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Abstract

Staphylococcus aureus (S. aureus) is a prominent human and livestock pathogen investigated widely using omic technologies. Critically, due to availability, low visibility or scattered resources, robust network and statistical contextualisation of the resulting data is generally under-represented. Here, we present novel meta-analyses of freely-accessible molecular network and gene ontology annotation information resources for S. aureus omics data interpretation. Furthermore, through the application of the gene ontology annotation resources we demonstrate their value and ability (or lack-there-of) to summarise and statistically interpret the emergent properties of gene expression and protein abundance changes using publically available data. This analysis provides simple metrics for network selection and demonstrates the availability and impact that gene ontology annotation selection can have on the contextualisation of bacterial omics data.

Impact and interest:

1 citations in Scopus
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ID Code: 83576
Item Type: Journal Article
Refereed: Yes
Keywords: Staphylococcus aureus, Omics, Systems biology, Gene ontology, Molecular Network
DOI: 10.1016/j.ijmm.2015.02.001
ISSN: 1438-4221
Subjects: Australian and New Zealand Standard Research Classification > BIOLOGICAL SCIENCES (060000) > BIOCHEMISTRY AND CELL BIOLOGY (060100) > Analytical Biochemistry (060101)
Australian and New Zealand Standard Research Classification > BIOLOGICAL SCIENCES (060000) > BIOCHEMISTRY AND CELL BIOLOGY (060100) > Bioinformatics (060102)
Australian and New Zealand Standard Research Classification > BIOLOGICAL SCIENCES (060000) > MICROBIOLOGY (060500) > Bacteriology (060501)
Divisions: Current > Schools > School of Biomedical Sciences
Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Funding:
  • QUT/IHBI ECR Grant
Copyright Owner: Copyright 2015 Elsevier
Copyright Statement: Licensed under the Creative Commons Attribution; Non-Commercial; No-Derivatives 4.0 International. DOI: 10.1016/j.ijmm.2015.02.001
Deposited On: 15 Apr 2015 00:32
Last Modified: 10 Jun 2016 05:16

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