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 realizing ideas of inference in bio-ontologies, discusses the likelihood and records themes worthwhile 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 offers the Gene Ontology; upper-level ontologies, equivalent to the elemental 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 foremost graph-based algorithms for bio-ontologies. The authors speak 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 themes, the ultimate half describes the ontology languages of the Semantic net and their functions 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 knowledge designed to enrich fabric within the textual content can be found at the book’s web site: the positioning offers the R Robo package deal built for the e-book, besides a compressed archive of information and ontology documents utilized in a number of the routines. It additionally bargains teaching/presentation slides and hyperlinks to different proper websites.

This publication offers readers with the root to take advantage of ontologies as a place to begin for brand new bioinformatics learn initiatives or to aid present molecular genetics study tasks. through offering a self-contained advent 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 knowing of biomedical data.

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