The Gene Ontology Handbook
Title | The Gene Ontology Handbook PDF eBook |
Author | Christophe Dessimoz |
Publisher | |
Pages | 298 |
Release | 2020-10-08 |
Genre | Science |
ISBN | 9781013267703 |
This book provides a practical and self-contained overview of the Gene Ontology (GO), the leading project to organize biological knowledge on genes and their products across genomic resources. Written for biologists and bioinformaticians, it covers the state-of-the-art of how GO annotations are made, how they are evaluated, and what sort of analyses can and cannot be done with the GO. In the spirit of the Methods in Molecular Biology book series, there is an emphasis throughout the chapters on providing practical guidance and troubleshooting advice. Authoritative and accessible, The Gene Ontology Handbook serves non-experts as well as seasoned GO users as a thorough guide to this powerful knowledge system. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
The Gene Ontology Handbook
Title | The Gene Ontology Handbook PDF eBook |
Author | Christophe Dessimoz |
Publisher | |
Pages | 298 |
Release | 2020-10-08 |
Genre | Science |
ISBN | 9781013267710 |
This book provides a practical and self-contained overview of the Gene Ontology (GO), the leading project to organize biological knowledge on genes and their products across genomic resources. Written for biologists and bioinformaticians, it covers the state-of-the-art of how GO annotations are made, how they are evaluated, and what sort of analyses can and cannot be done with the GO. In the spirit of the Methods in Molecular Biology book series, there is an emphasis throughout the chapters on providing practical guidance and troubleshooting advice. Authoritative and accessible, The Gene Ontology Handbook serves non-experts as well as seasoned GO users as a thorough guide to this powerful knowledge system. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
Gene Ontology: A Resource for Analysis and Interpretation of Biological Database
Title | Gene Ontology: A Resource for Analysis and Interpretation of Biological Database PDF eBook |
Author | Paige Hill |
Publisher | |
Pages | 0 |
Release | 2023-09-26 |
Genre | Science |
ISBN | 9781647403805 |
The gene ontology (GO) is a bioinformatics project which aims to merge the representation of gene and characteristics of gene product in all species. It is a thorough and updated compilation of biological information that is utilized as a resource for computational representation of the most recent scientific data available concerning coding as well as non-coding functions of genes. High-throughput biological datasets can be interpreted and analyzed using the GO resource. The goal of the GO analysis is to pinpoint the molecular functions, biological processes and cellular locations of the genes. It utilizes markup language in order to make the genetic data and curated attributes of gene products readable by machine, in a manner which is integrated across all species. This book provides comprehensive insights on gene ontology. It aims to shed light on some of the unexplored aspects of this subject. Those in search of information to further their knowledge will be greatly assisted by this book.
Biological Knowledge Discovery Handbook
Title | Biological Knowledge Discovery Handbook PDF eBook |
Author | Mourad Elloumi |
Publisher | John Wiley & Sons |
Pages | 1192 |
Release | 2013-12-24 |
Genre | Computers |
ISBN | 1118617118 |
The first comprehensive overview of preprocessing, mining,and postprocessing of biological data Molecular biology is undergoing exponential growth in both thevolume and complexity of biological data—and knowledgediscovery offers the capacity to automate complex search and dataanalysis tasks. This book presents a vast overview of the mostrecent developments on techniques and approaches in the field ofbiological knowledge discovery and data mining (KDD)—providingin-depth fundamental and technical field information on the mostimportant topics encountered. Written by top experts, Biological Knowledge DiscoveryHandbook: Preprocessing, Mining, and Postprocessing of BiologicalData covers the three main phases of knowledge discovery (datapreprocessing, data processing—also known as datamining—and data postprocessing) and analyzes both verificationsystems and discovery systems. BIOLOGICAL DATA PREPROCESSING Part A: Biological Data Management Part B: Biological Data Modeling Part C: Biological Feature Extraction Part D Biological Feature Selection BIOLOGICAL DATA MINING Part E: Regression Analysis of Biological Data Part F Biological Data Clustering Part G: Biological Data Classification Part H: Association Rules Learning from Biological Data Part I: Text Mining and Application to Biological Data Part J: High-Performance Computing for Biological DataMining Combining sound theory with practical applications in molecularbiology, Biological Knowledge Discovery Handbook is idealfor courses in bioinformatics and biological KDD as well as forpractitioners and professional researchers in computer science,life science, and mathematics.
Handbook Of Metadata, Semantics And Ontologies
Title | Handbook Of Metadata, Semantics And Ontologies PDF eBook |
Author | Miguel-angel Sicilia |
Publisher | World Scientific |
Pages | 579 |
Release | 2013-12-17 |
Genre | Computers |
ISBN | 9814590355 |
Metadata research has emerged as a discipline cross-cutting many domains, focused on the provision of distributed descriptions (often called annotations) to Web resources or applications. Such associated descriptions are supposed to serve as a foundation for advanced services in many application areas, including search and location, personalization, federation of repositories and automated delivery of information. Indeed, the Semantic Web is in itself a concrete technological framework for ontology-based metadata. For example, Web-based social networking requires metadata describing people and their interrelations, and large databases with biological information use complex and detailed metadata schemas for more precise and informed search strategies.There is a wide diversity in the languages and idioms used for providing meta-descriptions, from simple structured text in metadata schemas to formal annotations using ontologies, and the technologies for storing, sharing and exploiting meta-descriptions are also diverse and evolve rapidly. In addition, there is a proliferation of schemas and standards related to metadata, resulting in a complex and moving technological landscape — hence, the need for specialized knowledge and skills in this area.The Handbook of Metadata, Semantics and Ontologies is intended as an authoritative reference for students, practitioners and researchers, serving as a roadmap for the variety of metadata schemas and ontologies available in a number of key domain areas, including culture, biology, education, healthcare, engineering and library science.
Handbook on Ontologies
Title | Handbook on Ontologies PDF eBook |
Author | Steffen Staab |
Publisher | Springer Science & Business Media |
Pages | 661 |
Release | 2013-04-17 |
Genre | Computers |
ISBN | 3540247505 |
An ontology is a description (like a formal specification of a program) of concepts and relationships that can exist for an agent or a community of agents. The concept is important for the purpose of enabling knowledge sharing and reuse. The Handbook on Ontologies provides a comprehensive overview of the current status and future prospectives of the field of ontologies. The handbook demonstrates standards that have been created recently, it surveys methods that have been developed and it shows how to bring both into practice of ontology infrastructures and applications that are the best of their kind.
Applied Ontology
Title | Applied Ontology PDF eBook |
Author | Katherine Munn |
Publisher | Walter de Gruyter |
Pages | 342 |
Release | 2013-05-02 |
Genre | Philosophy |
ISBN | 3110324865 |
Ontology is the philosophical discipline which aims to understand how things in the world are divided into categories and how these categories are related together. This is exactly what information scientists aim for in creating structured, automated representations, called ‘ontologies,’ for managing information in fields such as science, government, industry, and healthcare. Currently, these systems are designed in a variety of different ways, so they cannot share data with one another. They are often idiosyncratically structured, accessible only to those who created them, and unable to serve as inputs for automated reasoning. This volume shows, in a non-technical way and using examples from medicine and biology, how the rigorous application of theories and insights from philosophical ontology can improve the ontologies upon which information management depends.