The success of individualized medicine, advanced crops, and new and sustainable energy sources requires thoroughly annotated genomic information and the integration of this information into a coherent model. A thorough overview of this field, Genome Annotation explores automated genome analysis and annotation from its origins to the challenges of next-generation sequencing data analysis.
The book initially takes you through the last 16 years since the sequencing of the first complete microbial genome. It explains how current analysis strategies were developed, including sequencing strategies, statistical models, and early annotation systems. The authors then present visualization techniques for displaying integrated results as well as state-of-the-art annotation tools, including MAGPIE, Ensembl, Bluejay, and Galaxy. They also discuss the pipelines for the analysis and annotation of complex, next-generation DNA sequencing data. Each chapter includes references and pointers to relevant tools.
As very few existing genome annotation pipelines are capable of dealing with the staggering amount of DNA sequence information, new strategies must be developed to accommodate the needs of today's genome researchers. Covering this topic in detail, Genome Annotation provides you with the foundation and tools to tackle this challenging and evolving area. Suitable for both students new to the field and professionals who deal with genomic information in their work, the book offers two genome annotation systems on an accompanying downloadable resources.
Reihe
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Students and researchers in bioinformatics and computational biology; biologists who use genome annotation.
Illustrationen
62 s/w Abbildungen, 20 farbige Abbildungen
20 Illustrations, color; 62 Illustrations, black and white
Maße
Höhe: 234 mm
Breite: 156 mm
Gewicht
ISBN-13
978-1-4398-4117-4 (9781439841174)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Jung Soh is a research associate at the University of Calgary. He earned a Ph.D. in computer science from the University at Buffalo, The State University of New York, where he worked at the Center of Excellence for Document Analysis and Recognition (CEDAR). He also worked as a principal research scientist at the Electronics and Telecommunications Research Institute (ETRI) in Daejeon, Korea. His research interests are in bioinformatics, machine learning, and biomedical data visualization.
Paul M.K. Gordon is the bioinformatics support specialist for the Alberta Children's Hospital Research Institute at the University of Calgary. He has worked at the National Research Council of Canada's Institute for Information Technology (NRC-IIT) and Institute for Marine Biosciences (NRC-IMB). His current work focuses on developing bioinformatics techniques for personalized medicine.
Christoph W. Sensen is a professor of bioinformatics at the University of Calgary. He has previously worked as a research officer at the National Research Council of Canada's Institute for Marine Biosciences (NRC-IMB) and as a visiting scientist at the European Molecular Biology Laboratory (EMBL) in Heidelberg. His research interests are in genome research and bioinformatics.
Autor*in
University of Calgary, Alberta, Canada
University of Calgary, Alberta, Canada
University of Calgary, Alberta, Canada
DNA Sequencing Strategies. Coding Sequence Prediction. Between the Genes. Genome-Associated Data. Characterization of Gene Function through Bioinformatics: The Early Days. Visualization Techniques and Tools for Genomic Data. Functional Annotation. Automated Annotation Systems. Dynamic Annotation Systems: End-User-Driven Annotation and Visualization. Web-Based Workflows. Analysis Pipelines for Next-Generation Sequencing Data. Index.
