2005 - Fellow of the American Association for the Advancement of Science (AAAS)
Suzanna E. Lewis spends much of her time researching Genetics, Genome, Computational biology, Gene and Annotation. Her Genetics and Human Phenotype Ontology, Disease Ontology and Gene density investigations all form part of her Genetics research activities. Her Human Phenotype Ontology study deals with Critical Assessment of Function Annotation intersecting with Ontology for Biomedical Investigations.
Her work on Systems biology as part of general Computational biology research is frequently linked to Quantitative biology, thereby connecting diverse disciplines of science. Her Annotation study combines topics in areas such as The Internet and Information retrieval. Her study on The Internet also encompasses disciplines like
Suzanna E. Lewis mainly focuses on Genetics, Computational biology, Genome, Ontology and Data science. Her studies in Computational biology integrate themes in fields like Annotation, Bioinformatics, Critical Assessment of Function Annotation, Biological pathway and Reference genome. Her Genomics and Genome project study in the realm of Genome interacts with subjects such as FlyBase : A Database of Drosophila Genes & Genomes.
Her Genome project research includes themes of ENCODE and Database. Suzanna E. Lewis specializes in Ontology, namely Open Biomedical Ontologies. Her Controlled vocabulary research is multidisciplinary, incorporating perspectives in Sequence Ontology and Gene ontology.
Suzanna E. Lewis mainly investigates Data science, Genomics, Computational biology, Apollo and Genome. Her Genomics study also includes
As a part of the same scientific family, she mostly works in the field of Computational biology, focusing on Bioinformatics and, on occasion, Human disease, Candidate gene and Information retrieval. Her Genome browser study, which is part of a larger body of work in Genome, is frequently linked to Alliance, bridging the gap between disciplines. While the research belongs to areas of Genome project, Suzanna E. Lewis spends her time largely on the problem of World Wide Web, intersecting her research to questions surrounding Ontology, Process ontology and Upper ontology.
Suzanna E. Lewis mainly focuses on Genomics, Genetics, World Wide Web, Ontology and Web page. Her work in Genomics addresses subjects such as User interface, which are connected to disciplines such as Genome project, Annotation and Web application. She combines Genetics and Identification in her research.
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.
Gene Ontology: tool for the unification of biology
M Ashburner;C A Ball;J A Blake;D Botstein.
Nature Genetics (2000)
The genome sequence of Drosophila melanogaster
M. D. Adams;S. E. Celniker;R. A. Holt;C. A. Evans.
The Gene Ontology (GO) database and informatics resource.
Harris Ma;Clark J;Ireland A;Lomax J.
Nucleic Acids Research (2004)
The Gene Ontology Resource: 20 years and still GOing strong
S. Carbon;E. Douglass;N. Dunn;B. Good.
Nucleic Acids Research (2019)
The OBO Foundry : coordinated evolution of ontologies to support biomedical data integration
Barry Smith;Michael Ashburner;Cornelius Rosse;Jonathan Bard.
Nature Biotechnology (2007)
AmiGO: online access to ontology and annotation data
Seth Carbon;Amelia Ireland;Christopher J. Mungall;ShengQiang Shu.
Comparative Genomics of the Eukaryotes
Gerald M. Rubin;Mark D. Yandell;Jennifer R. Wortman;George L. Gabor.
Reactome: a knowledgebase of biological pathways.
G. Joshi-Tope;M. Gillespie;M. Gillespie;I. Vastrik;P. D'Eustachio;P. D'Eustachio.
Nucleic Acids Research (2004)
The Generic Genome Browser: A Building Block for a Model Organism System Database
Lincoln D. Stein;Christopher Mungall;ShengQiang Shu;Michael Caudy.
Genome Research (2002)
The minimum information about a genome sequence (MIGS) specification.
Dawn Field;George Garrity;Tanya Gray;Norman Morrison.
Nature Biotechnology (2008)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: