Oliver, Stephen G.

The Gene Ontology resource: enriching a GOld mine

The Gene Ontology Consortium, Carbon, S., Douglass, E., Good, B. M., Unni, D. R., Harris, N. L., Mungall, C. J., Basu, S., Chisholm, R. L., Dodson, R. J., et al. (2021) · Nucleic Acids Research

Biomedical Text Mining and OntologiesBioinformatics and Genomic Networks

Cited by 3,555

The automation of science

King, R. D., Rowland, J., Oliver, S. G., Young, M., Aubrey, W., Byrne, E., Liakata, M., Markham, M., Pir, P., Soldatova, L. N., et al. (2009) · Science

Scientific Computing and Data ManagementBiomedical Text Mining and Ontologies

Cited by 679

Functional genomic hypothesis generation and experimentation by a robot scientist

King, R. D., Whelan, K. E., Jones, F. M., Reiser, P. G. K., Bryant, C. H., Muggleton, S. H., Kell, D. B., & Oliver, S. G. (2004) · Nature

Scientific Computing and Data ManagementBioinformatics and Genomic Networks

Cited by 662

A consensus yeast metabolic network reconstruction obtained from a community approach to systems biology

Herrgård, M. J., Swainston, N., Dobson, P., Dunn, W. B., Arga, K. Y., Arvas, M., Blüthgen, N., Borger, S., Costenoble, R., Heinemann, M., et al. (2008) · Nature Biotechnology

Microbial Metabolic Engineering and BioproductionBioinformatics and Genomic Networks

Cited by 588

Guilt-by-association goes global

Oliver, S. (2000) · Nature

Bioinformatics and Genomic NetworksFungal and yeast genetics research

Cited by 557

Here is the evidence, now what is the hypothesis? The complementary roles of inductive and hypothesis‐driven science in the post‐genomic era

Kell, D. B., & Oliver, S. G. (2004) · BioEssays

Philosophy of Biology and Scientific ExplanationScientific Computing and Data Management

Cited by 535

PomBase: a comprehensive online resource for fission yeast

Wood, V., Harris, M. A., McDowall, M. D., Rutherford, K., Vaughan, B. W., Staines, D. M., Aslett, M., Lock, A., Bahler, J., Kersey, P. J., et al. (2012) · Nucleic Acids Research

Genomics and Phylogenetic StudiesBioinformatics and Genomic Networks

Cited by 321

Growth control of the eukaryote cell: a systems biology study in yeast

Castrillo, J. I., Zeef, L. A., Hoyle, D. C., Zhang, N., Hayes, A., Gardner, D. C., Cornell, M. J., Petty, J., Hakes, L., Wardleworth, L., et al. (2007) · Journal of Biology

Fungal and yeast genetics researchMicrobial Metabolic Engineering and Bioproduction

Cited by 263

Chance and necessity in the evolution of minimal metabolic networks

Pál, C., Papp, B., Lercher, M. J., Csermely, P., Oliver, S. G., & Hurst, L. D. (2006) · Nature

Microbial Metabolic Engineering and BioproductionEvolution and Genetic Dynamics

Cited by 239

A model of yeast glycolysis based on a consistent kinetic characterisation of all its enzymes

Smallbone, K., Messiha, H. L., Carroll, K. M., Winder, C. L., Malys, N., Dunn, W. B., Murabito, E., Swainston, N., Dada, J. O., Khan, F., et al. (2013) · FEBS Letters

Microbial Metabolic Engineering and BioproductionGene Regulatory Network Analysis

Cited by 147

Hidden in plain sight: what remains to be discovered in the eukaryotic proteome?

Wood, V., Lock, A., Harris, M. A., Rutherford, K., Bähler, J., & Oliver, S. G. (2019) · Open Biology

Bioinformatics and Genomic NetworksGenomics and Phylogenetic Studies

Cited by 132

Alzheimer’s as a Systems-Level Disease Involving the Interplay of Multiple Cellular Networks

Castrillo, J. I., & Oliver, S. G. (2016) · Methods in Molecular Biology

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 44