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The recent explosive growth of biological data has lead to a rapid increase in the number of molecular biology databases. Held in many different locations and often using varying interfaces and non-standard data formats, integrating and comparing data from these multiple databases can be difficult and time-consuming. This book provides an overview of the key tools currently available for large-scale comparisons of gene sequences and annotations, focusing on the databases and tools from the University of California, Santa Cruz (UCSC), Ensembl, and the National Centre for Biotechnology Information (NCBI). Written specifically for biology and bioinformatics students and researchers, it aims to give an appreciation for the methods by which the browsers and their databases are constructed, enabling readers to determine which tool is the most appropriate for their requirements. Each chapter contains a summary and exercises to aid understanding and promote effective use of these important tools.Read more
- Describes both web-based and programmed data-mining methods in a unified manner
- Describes the integrated genome database resources at Ensembl and UCSC in detail, enabling the reader to carry out unified and complex data-mining queries in a single procedure
- Written for both biologists, with limited programming skills, and informaticists, with limited biology experience
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- Date Published: June 2008
- format: Hardback
- isbn: 9780521884433
- length: 344 pages
- dimensions: 261 x 183 x 22 mm
- weight: 0.75kg
- contains: 51 b/w illus. 4 tables 46 exercises
- availability: In stock
Table of Contents
1. The molecular biology data explosion
2. Introduction to genome browsing with the UCSC Genome Browser
3. Browsing with Ensembl, Map Viewer and other genome browsers
4. Interactive genome-database batch querying
5. Interactive batch post-processing with Galaxy
6. Introduction to programmed querying
7. Using the Ensembl API
8. Programmed querying with Ensembl, continued
9. Introduction to the UCSC API
10. More advanced application using the UCSC API
11. Customized genome databases
12. Genomes, browsers, databases - the future.
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