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Informationen zum Autor 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. Klappentext From individual tools to genome analysis, this book provides an overview of annotation strategies and toolkits currently in use. Presenting a combination of principles and practice, the authors elucidate database search engines and HTML-based annotation systems for specialists in computational biology and bioinformatics who use genome annotation in their work. They also introduce web service-based annotation pipelines. The text includes a CD-ROM with MAGPIE and Bluejay, genome annotation systems and viewers that are used in thousands of laboratories around the world. Zusammenfassung This thorough overview explores automated genome analysis and annotation from its origins to the challenges of next-generation sequencing data analysis. It explains how current analysis strategies were developed, including sequencing strategies, statistical models, and early annotation systems. The authors then present visualization techniques f Inhaltsverzeichnis DNA Sequencing Strategies The Evolution of DNA Sequencing TechnologiesDNA Sequence Assembly StrategiesNext-Generation SequencingSequencing Bias and Error RatesCoding Sequence Prediction Introduction Mapping Messenger RNA (mRNA) Statistical ModelsCross-Species Methods Combining Gene Predictions Splice VariantsBetween the GenesIntroduction Transcription FactorsRNAPseudogenesOther RepeatsGenome-Associated Data Introduction Operons MetagenomicsIndividual GenomesCharacterization of Gene Function through Bioinformatics: The Early Days Overview Stand-Alone Tools and Tools for the Early Internet PackagesFrom FASTA Files to Annotated GenomesConclusionVisualization Techniques and Tools for Genomic Data Introduction Visualization of Sequencing Data Visualization of Multiple Sequence Alignments Visualization of Hierarchical StructuresVisualization of Gene Expression DataFunctional Annotation Introduction Biophysical and Biochemical FeaturePrediction Protein Domains Similarity SearchesPairwise Alignment MethodsConclusionAutomated Annotation Systems Introduction MAGPIEGeneric Model Organism Database (GMOD)AGeSEnsemblSummaryDynamic Annotation Systems: End-User-Driven Annotation and VisualizationIntroduction Web-Based Genome Annotation BrowsersStand-Alone Genome Annotation BrowsersComparative Visualization of GenomesWeb-Based WorkflowsIntroduction Principles of Web-Based WorkflowsGalaxyTavernaSeahawkConclusionAnalysis Pipelines for Next-Generation Sequencing Data Introduction Genome Sequence Reconstruction Analysis Pipelines: Case StudiesNext-Generation Genome BrowsingIndexReferences appear at the end of each chapter. ...
