Ontologies for Bioinformatics (Computational Molecular Biology)
| Author | : | |
| Rating | : | 4.41 (784 Votes) |
| Asin | : | 0262025914 |
| Format Type | : | paperback |
| Number of Pages | : | 440 Pages |
| Publish Date | : | 2017-06-24 |
| Language | : | English |
DESCRIPTION:
Kenneth Baclawski is Associate Professor of Computer Science at Northeastern University.Tianhua Niu is Assistant Professor of Psychiatry and Neurobehavioral Sciences in the Department of Psychiatry and Neurobehavioral Sciences at the University of Virginia School of Medicine.
"Given the current explosion of biological data in multiple dimensions, it is time to think systematically about strategies and techniques to not only store, but also integrate and represent them in knowledge-oriented ways. Ontology is the solution, and this book is an excellent effort to evaluate a number of alternative ontology-exchange languages, and to recommend them for use within the larger bioinformatics community. (Bo Yuan, Departments of Biomedical Informatics and Pharmacology, The Ohio State University) . Ontology is the solution, and this book is an excellent effort to evaluate a number of alternative ontology-exchange languages, and to recommend them for use within the larger bioinfor
Title can mislead: Greater focus on methods than content of ontologies George J. Shannon I was disappointed in this book in the lack of depth or breadth on a couple of key areas as follows:Item 1 - It appeared to me that ontologies were not explained in sufficient detail to help "newbies" determine exactly why a specific ontology was created and the specific functio
Recent advances in biotechnology, spurred by the Human Genome Project, have resulted in the accumulation of vast amounts of new data. This book introduces the key concepts and applications of ontologies and ontology languages in bioinformatics and will be an essential guide for bioinformaticists, computer scientists, and life science researchers.The three parts of Ontologies for Bioinformatics ask, and answer, three pivotal questions: what ontologies are; how ontologies are used; and what ontologies could be (which focuses on how ontologies could be used for reasoning with uncertainty). Ontologies -- computer-readable, precise formulations of concepts (and the relationship among them) in a given field -- are a critical framework for coping with the exponential growth of valuable biological data generated by high-output technologies. They call this inductive reasoning web the Bayesian web.. They show how to construct and use ontologies, classifying uses into three categories: querying, viewing, and transforming data to serve diverse purposes.