Ontologies for data and knowledge sharing in biology: plant ROS signaling as a case study.
Modern technologies have rapidly transformed biology into a data-intensive discipline. In addition to the enormous amounts of existing experimental data in the literature, every new study can produce a large amount of new data, resulting in novel ideas and more publications. In order to understand a biological process as completely as possible, scientists should be able to combine and analyze all such information. Not only molecular biology and bioinformatics, but all the other domains of biology including plant biology, require tools and technologies that enable experts to capture knowledge within distributed and heterogeneous sources of information. Ontologies have proven to be one of the most-useful means of constructing and formalizing expert knowledge. The key feature of an ontology is that it represents a computer-interpretable model of a particular subject area. This article outlines the importance of ontologies for systems biology, data integration and information analyses, as illustrated through the example of reactive oxygen species (ROS) signaling networks in plants.
Strizh
Irina G
IG
Plant Physiology Department, Biology Faculty, M.V. Lomonosov Moscow State University, Leninskie Gory, 119992 Moscow, Russia. irina.strizh@mail.ru
D019295:Computational Biology; D008954:Models, Biological; D010944:Plants / Q000235:genetics / Q000378:metabolism*; D017382:Reactive Oxygen Species / Q000378:metabolism*; D015398:Signal Transduction; D049490:Systems Biology
D017382:Reactive Oxygen Species