Genomes, Browsers, and Databases: Data-Mining Tools for Integrated Genomic Databases
by Peter SchattnerView All Available Formats & Editions
ISBN-10: 0521711320
ISBN-13: 9780521711326
Pub. Date: 07/31/2008
Publisher: Cambridge University Press
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
Overview
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.
Product Details
- ISBN-13:
- 9780521711326
- Publisher:
- Cambridge University Press
- Publication date:
- 07/31/2008
- Pages:
- 344
- Product dimensions:
- 7.00(w) x 9.90(h) x 0.80(d)
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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