By Peter N. Robinson,Sebastian Bauer
Introduction to Bio-Ontologies explores the computational heritage 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 ebook defines ontology and bio-ontologies. It additionally explains the significance of mathematical good judgment for knowing strategies of inference in bio-ontologies, discusses the likelihood and statistics subject matters precious for knowing 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 e-book provides the Gene Ontology; upper-level ontologies, corresponding to the fundamental Formal Ontology and the Relation Ontology; and present bio-ontologies, together with a number of 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 most important graph-based algorithms for bio-ontologies. The authors talk about how those algorithms are utilized in overrepresentation research, model-based methods, 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 ideas, a key inference set of rules, the SPARQL question language, and the state-of-the-art for querying OWL ontologies.
Software and knowledge designed to counterpoint fabric within the textual content can be found at the book’s web site: http://bio-ontologies-book.org the location presents the R Robo package deal built for the ebook, in addition to a compressed archive of knowledge and ontology records utilized in the various routines. It additionally bargains teaching/presentation slides and hyperlinks to different correct websites.
This publication presents readers with the root to exploit ontologies as a place to begin for brand spanking new bioinformatics examine initiatives or to aid present molecular genetics study tasks. through offering a self-contained advent to OBO ontologies and the Semantic internet, it bridges the space among either fields and is helping readers see what each one can give a contribution to the research and knowing of biomedical data.
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