2008 - Fellow of the American Association for the Advancement of Science (AAAS)
His primary areas of study are Genetics, Saccharomyces cerevisiae, Yeast, Gene and Genome. Many of his studies on Genetics involve topics that are commonly interrelated, such as Computational biology. His work carried out in the field of Saccharomyces cerevisiae brings together such families of science as Genetic marker, Systems biology and Robustness.
Stephen G. Oliver interconnects Metabolite, Chromatography and Chemostat in the investigation of issues within Yeast. His Genome study integrates concerns from other disciplines, such as Saccharomyces, Sequence analysis and DNA sequencing. His biological study spans a wide range of topics, including Genetic redundancy and Intron.
His scientific interests lie mostly in Genetics, Saccharomyces cerevisiae, Yeast, Gene and Biochemistry. In his research on the topic of Genetics, Functional genomics is strongly related with Computational biology. His Saccharomyces cerevisiae research integrates issues from Plasmid, Proteome, Mutant, Molecular biology and Cell biology.
The study incorporates disciplines such as Mutation, Chemostat and Microbiology in addition to Mutant. His Yeast research is multidisciplinary, relying on both Ethanol, Fermentation and Metabolic network. In most of his Genome studies, his work intersects topics such as DNA sequencing.
Stephen G. Oliver mostly deals with Yeast, Saccharomyces cerevisiae, Computational biology, Biochemistry and Gene. DNA sequencing, Gene ontology and Budding yeast is closely connected to Model organism in his research, which is encompassed under the umbrella topic of Yeast. He has included themes like Transcriptional regulation, Cell fractionation, Kinase, Cell biology and Metabolism in his Saccharomyces cerevisiae study.
His study in Computational biology is interdisciplinary in nature, drawing from both Proteome and Biotechnology. His Gene study is concerned with the larger field of Genetics. His Metabolome study integrates concerns from other disciplines, such as Transcriptome, Fungal protein and Major facilitator superfamily.
Stephen G. Oliver mainly focuses on Computational biology, Yeast, Saccharomyces cerevisiae, Model organism and Biotechnology. His biological study spans a wide range of topics, including Proteome, Precision medicine, Annotation, Functional genomics and Molecular Sequence Annotation. Many of his studies involve connections with topics such as Flux and Yeast.
His study deals with a combination of Saccharomyces cerevisiae and Prediction methods. His Model organism study combines topics in areas such as Biological database, Sustainability, Genome database and Proteasome. His Biotechnology research includes elements of Flux balance analysis, Nutrient, Mutant and Metabolic network.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Life with 6000 Genes
André Goffeau;B G Barrell;H Bussey;R W Davis.
The Gene Ontology Resource: 20 years and still GOing strong
S. Carbon;E. Douglass;N. Dunn;B. Good.
Nucleic Acids Research (2019)
Comparative assessment of large-scale data sets of protein-protein interactions.
Christian von Mering;Roland Krause;Berend Snel;Michael Cornell.
Systematic functional analysis of the yeast genome
Stephen G. Oliver;Michael K. Winson;Douglas B. Kell;Frank Baganz.
Trends in Biotechnology (1998)
A functional genomics strategy that uses metabolome data to reveal the phenotype of silent mutations
Léonie M. Raamsdonk;Bas Teusink;David Broadhurst;Nianshu Zhang.
Nature Biotechnology (2001)
Genome sequencing and analysis of the versatile cell factory Aspergillus niger CBS 513.88
Herman J. Pel;Johannes H. De Winde;Johannes H. De Winde;David B. Archer;Paul S. Dyer.
Nature Biotechnology (2007)
The complete DNA sequence of yeast chromosome III.
S. G. Oliver;Q. J. M. van der Aart;M. L. Agostoni-Carbone;M. Aigle.
A common open representation of mass spectrometry data and its application to proteomics research
Patrick G A Pedrioli;Jimmy K Eng;Robert Hubley;Mathijs Vogelzang.
Nature Biotechnology (2004)
Overview of the yeast genome
H W Mewes;K. Albermann;Manuel Bahr;D Frishman.
Functional genomic hypothesis generation and experimentation by a robot scientist
Ross D. King;Kenneth E. Whelan;Ffion M. Jones;Philip G. K. Reiser.
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