By Peter N. Robinson
Introduction to Bio-Ontologies explores the computational historical past of ontologies. Emphasizing computational and algorithmic concerns surrounding bio-ontologies, this self-contained textual content is helping readers comprehend ontological algorithms and their applications.
The first a part of the booklet defines ontology and bio-ontologies. It additionally explains the significance of mathematical common sense for knowing techniques of inference in bio-ontologies, discusses the likelihood and records issues important for figuring out ontology algorithms, and describes ontology languages, together with OBO (the preeminent language for bio-ontologies), RDF, RDFS, and OWL.
The moment half covers major bio-ontologies and their purposes. The publication offers the Gene Ontology; upper-level ontologies, akin to the fundamental Formal Ontology and the Relation Ontology; and present bio-ontologies, together with numerous anatomy ontologies, Chemical Entities of organic curiosity, series Ontology, Mammalian Phenotype Ontology, and Human Phenotype Ontology.
The 3rd a part of the textual content introduces the key graph-based algorithms for bio-ontologies. The authors speak about how those algorithms are utilized in overrepresentation research, model-based strategies, semantic similarity research, and Bayesian networks for molecular biology and biomedical applications.
With a spotlight on computational reasoning issues, the ultimate half describes the ontology languages of the Semantic net and their purposes for inference. It covers the formal semantics of RDF and RDFS, OWL inference principles, a key inference set of rules, the SPARQL question language, and the state-of-the-art for querying OWL ontologies.
Web Resource
Software and information designed to counterpoint fabric within the textual content can be found at the book’s site: http://bio-ontologies-book.org the location offers the R Robo package deal constructed for the publication, in addition to a compressed archive of information and ontology records utilized in a few of the routines. It additionally bargains teaching/presentation slides and hyperlinks to different proper websites.
This booklet presents readers with the basis to take advantage of ontologies as a kick off point for brand spanking new bioinformatics learn tasks or to aid present molecular genetics learn tasks. through offering a self-contained creation to OBO ontologies and the Semantic net, it bridges the space among either fields and is helping readers see what every one can give a contribution to the research and figuring out of biomedical data.
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