Knowledge based bioinformatics : from analysis to interpretation /
Alterovitz, Gil.
Ramoni, Marco F.
Chichester, West Sussex, U.K. : John Wiley & Sons,
2010.
"In order to deal with issues that arise from the current increase of biological data in genomic and proteomic research and present it effectively to a wider audience, broader coverage of recent developments in the field of knowledge-based systems and their applications is required. Most current texts are either outdated or do not include all the aspects in knowledge and data-driven representation, integration, analysis, and interpretation. This collection aims to address this issue by providing comprehensive coverage of knowledge driven approaches to bioinformatics"--Provided by publisher.
Includes bibliographical references and index.
(Publisher-supplied data)   Chapter 1 Knowledge Based Bioinformatics   Eric Karl Neumann   Chapter 2 Knowledge-Driven Approaches to Genome-Scale Analysis   Hannah Tipney and Lawrence Hunter   Chapter 3 Technologies and Best Practices for Building Bio-Ontologies   Mikel Egaa Aranguren, Robert Stevens, Jesualdo Tom s Fern ndez Breis, Erick Antezana, Vladimir Mironov and Martin Kuiper   Chapter 4 Design, Implementation and Updating of Knowledge Bases   Sarah Hunter, Rolf Apweiler and Maria Jesus Martin   Chapter 5 Classical Statistical Learning in Bioinformatics   Mark Reimers   Chapter 6 Bayesian Methods in Genomics and Proteomics Studies   Ning Sun and Hongyu Zhao   Chapter 7 Automatic Text Analysis for Bioinformatics Knowledge Discovery   Dietrich Rebholz-Schuhmann, Jung-jae Kim   Chapter 8 Fundamentals of Gene Ontology Functional Annotation   Varsha K. Khodiyar, Emily C. Dimmer, Rachael P. Huntley and Ruth C.Lovering   Chapter 9 Methods for Improving Genome Annotation   Jonathan Mudge, Jennifer Harrow   Chapter 10 Sequences from all Prokaryotic, Eukaryotic and Viral Genomes Currently Available could be Clustered According to Phylotype on a Large-scale Self-Organizing Map Constructed with High-Performance Supercomputers.   Takashi Abe, Shigehiko Kanaya, Toshimichi Ikemura    Chapter 11 Molecular Network Analysis and Applications   Minlu Zhang, Jingyuan Deng, Chunsheng V. Fang, Xiao Zhang and Long J. Lu   Chapter 12 Reactome and Integrative Pathway Knowledge bases   Robin A. Haw, Marc Gillespie, ÿ Michael A. Caudy   Chapter 13 Methods and Challenges of Identifying Bio-Molecular Relationships and Networks Associated with Complex Diseases/Phenotypes and their Application to Drug Treatments.  Mie Rizig.
"In order to deal with issues that arise from the current increase of biological data in genomic and proteomic research and present it effectively to a wider audience, broader coverage of recent developments in the field of knowledge-based systems and their applications is required. Most current texts are either outdated or do not include all the aspects in knowledge and data-driven representation, integration, analysis, and interpretation. This collection aims to address this issue by providing comprehensive coverage of knowledge driven approaches to bioinformatics"--Provided by publisher.
Bioinformatics.
Expert systems (Computer science)