| Description |
1 online resource : illustrations |
| Series |
Chapman & Hall/CRC mathematical and computational biology series |
| Contents |
DNA Sequencing Strategies; The Evolution of DNA Sequencing Technologies; DNA Sequence Assembly Strategies; Next-Generation Sequencing; Sequencing Bias and Error Rates Coding Sequence Prediction ; Introduction; Mapping Messenger RNA (mRNA); Statistical Models; Cross-Species Methods; Combining Gene Predictions; Splice Variants Between the Genes ; Introduction; Transcription Factors; RNA; Pseudogenes; Other Repeats Genome-Associated Data; Introduction; Operons; Metagenomics; Individual Genomes Characterization of Gene Function through Bioinformatics: The Early Days; Overview; Stand-Alone Tools and Tools for the Early Internet; Packages; From FASTA Files to Annotated Genomes; Conclusion Visualization Techniques and Tools for Genomic Data ; Introduction; Visualization of Sequencing Data; Visualization |
|
Of Multiple Sequence Alignments; Visualization of Hierarchical Structures; Visualization of Gene Expression Data Functional Annotation ; Introduction; Biophysical and Biochemical Feature; Prediction; Protein Domains; Similarity Searches; Pairwise Alignment Methods; Conclusion Automated Annotation Systems; Introduction; MAGPIE; Generic Model Organism Database (GMOD); AGeS; Ensembl; Summary Dynamic Annotation Systems: End-User-Driven Annotation and Visualization ; Introduction; Web-Based Genome Annotation Browsers; Stand-Alone Genome Annotation Browsers; Comparative Visualization of Genomes Web-Based Workflows ; Introduction; Principles of Web-Based Workflows; Galaxy; Taverna; Seahawk; Conclusion Analysis Pipelines for Next-Generation Sequencing Data; Introduction; Genome Sequence Reconstruction; Analysis |
|
Pipelines: Case Studies; Next-Generation Genome Browsing Index References appear at the end of each chapter |
| Summary |
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, |
| Bibliography |
Includes bibliographical references |
| Notes |
Some online versions lack accompanying media packaged with the printed version |
|
Print version record |
| Subject |
Human genome.
|
|
Genomics -- Data processing
|
|
Computational biology.
|
|
Bioinformatics.
|
|
Genomics.
|
|
Molecular Sequence Annotation -- methods
|
|
Genomics
|
|
Sequence Analysis, DNA -- methods
|
|
Genome, Human
|
|
Computational Biology
|
|
SCIENCE -- Life Sciences -- Genetics & Genomics.
|
|
Genomics
|
|
Bioinformatics
|
|
Computational biology
|
|
Genomics -- Data processing
|
|
Human genome
|
| Form |
Electronic book
|
| Author |
Sensen, C. W. (Christoph W.)
|
|
Soh, Jung
|
| ISBN |
9781439841181 |
|
1439841187 |
|
