Ontologies for Bioinformatics
By Kenneth Baclawski and Tianhua Niu
This textbook aims to provide an introductory yet thorough analysis of ontologies and languages for bioinformaticists, computer scientists, and other life science researchers faced with the task of sorting mountains of complex data. Divided into three parts, the book introduces readers to extant types of ontology, explains how ontologies are used and constructed, and contrasts Boolean with inductive modes of reasoning. The authors have included chapter summaries, exercises, answers, and a complete index to aid readers.
Publisher: The MIT Press
Computational Systems Biology
Edited by Andres Kriete and Roland Eils
Eils and Kriete bring together an impressive roster of contributors in this technical guide to computational technologies and methods relating to systems biology. The authors present updates on modeling and simulating techniques, current research efforts on biochemical networks, and multi-scale modeling and analysis of biological systems.
Publisher: Academic Press, Elsevier
Structural and Evolutionary Genomics: Natural Selection in Genome Evolution
By Giorgio Bernardi
Author Bernardi points out in the preface that this book, which aims to review recent findings and present new data about structural and evolutionary genomics, focuses heavily on functional genomics as well. This book is for readers looking for an overview rather than a highly detailed examination of results: Bernardi covers 40 years worth of scientific discovery in about 400 pages.
Genetic Variance Detection: Technologies for Pharmacogenomics
Edited by Karl Hecker
Scientists including Mostafa Ronaghi and David Barker contributed chapters to this book, which discusses genetic variation detection tools such as sequencing, microarrays, mass spec, and others. The text, while quite technical, may be more appropriate for students, postdocs, or lab techs working hands-on with the technology than for scientists who are already familiar with the field.
Publisher: DNA Press