By Peter N. Robinson
Introduction to Bio-Ontologies explores the computational heritage of ontologies. Emphasizing computational and algorithmic matters surrounding bio-ontologies, this self-contained textual content is helping readers comprehend ontological algorithms and their applications.
The first a part of the e-book defines ontology and bio-ontologies. It additionally explains the significance of mathematical good judgment for figuring out ideas of inference in bio-ontologies, discusses the chance and data themes important 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 functions. The booklet offers the Gene Ontology; upper-level ontologies, comparable 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 foremost graph-based algorithms for bio-ontologies. The authors talk about how those algorithms are utilized in overrepresentation research, model-based approaches, 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 internet and their functions 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 information 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 publication, besides a compressed archive of information and ontology records utilized in the various workouts. It additionally bargains teaching/presentation slides and hyperlinks to different correct websites.
This booklet offers readers with the basis to exploit ontologies as a kick off point for brand new bioinformatics learn tasks or to help present molecular genetics learn initiatives. by way of delivering a self-contained creation to OBO ontologies and the Semantic net, it bridges the distance among either fields and is helping readers see what every one can give a contribution to the research and figuring out of biomedical data.