Genomes, Browsers and Databases: Data-Mining Tools for Integrated Genomic Databases | 
 enlarge | Author: Peter Schattner
Publisher: Cambridge University Press
Category: Book
List Price: $55.00
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Avg. Customer Rating:  1 reviews
Sales Rank: 925088
Media: Paperback
Edition: 1
Number Of Items: 1
Pages: 344
Shipping Weight (lbs): 1.2
Dimensions (in): 9.9 x 7 x 0.8
ISBN: 0521711320
Dewey Decimal Number: 572.8602856312
EAN: 9780521711326
ASIN: 0521711320
Publication Date: June 16, 2008
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Product Description
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.
Book Description
Focusing on the databases and tools from the University of California, Santa Cruz (UCSC), Ensembl, and the National Centre for Biotechnology Information (NCBI), this book provides an overview of the key tools currently available for large-scale comparisons of gene sequences and annotations.
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| Customer Reviews:
powerful analytic tools July 8, 2008
2 out of 4 found this review helpful
The sheer mass of genetic data being assembled by various biotech firms and research labs has led to the rise of genomics. This book describes various computational tools currently available, to help the researcher analyse the data.
One such tool addresses the need to visualise. The brain is best at analysing large amounts of data when presented in visual form. Ensembl and MapViewer are 2 of the so-called genome browsers that have been written. They let you troll thru the data and see it displayed in several ways. While these might be called browsers, they are a far step from the generic web browsers. Be warned that the APIs have very nontrivial learning curves.
Another part of the book looks at querying of databases. Another growing area, with sophisticated needs.
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