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.



Web Resource
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.

Show description

Read Online or Download Introduction to Bio-Ontologies (Chapman & Hall/CRC Mathematical and Computational Biology) PDF

Similar data mining books

Robust Data Mining (SpringerBriefs in Optimization)

Info uncertainty is an idea heavily similar with so much genuine lifestyles functions that contain facts assortment and interpretation. Examples are available in information received with biomedical tools or different experimental options. Integration of strong optimization within the latest information mining ideas objective to create new algorithms resilient to mistakes and noise.

Data Mining Mobile Devices

With today’s shoppers spending extra time on their mobiles than on their desktops, new equipment of empirical stochastic modeling have emerged which may offer agents with exact information regarding the goods, content material, and companies their buyers hope. info Mining cellular units defines the gathering of machine-sensed environmental information referring to human social habit.

Information Security Analytics: Finding Security Insights, Patterns, and Anomalies in Big Data

Info safeguard Analytics provides insights into the perform of analytics and, extra importantly, how one can make the most of analytic suggestions to spot traits and outliers that won't be attainable to spot utilizing conventional safeguard research strategies. info safeguard Analytics dispels the parable that analytics in the info safeguard area is restricted to only protection incident and occasion administration platforms and uncomplicated community research.

Big Data Analytics Using Multiple Criteria Decision-Making Models (Operations Research Series)

A number of standards choice Making (MCDM) is a subfield of Operations study, facing choice making difficulties. A decision-making challenge is characterised by way of the necessity to decide on one or a couple of between a couple of choices. the sector of MCDM assumes specified value during this period of massive facts and company Analytics.

Extra info for Introduction to Bio-Ontologies (Chapman & Hall/CRC Mathematical and Computational Biology)

Example text

Download PDF sample

Rated 4.43 of 5 – based on 11 votes