Chapter title |
Data Mining Techniques for the Life Sciences
|
---|---|
Chapter number | 1 |
Book title |
Data Mining Techniques for the Life Sciences
|
Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-3572-7_1 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3570-3, 978-1-4939-3572-7
|
Authors |
Tatusova, Tatiana, Tatiana Tatusova |
Editors |
Oliviero Carugo, Frank Eisenhaber |
Abstract |
The National Center for Biotechnology Information (NCBI), as a primary public repository of genomic sequence data, collects and maintains enormous amounts of heterogeneous data. Data for genomes, genes, gene expressions, gene variation, gene families, proteins, and protein domains are integrated with the analytical, search, and retrieval resources through the NCBI website, text-based search and retrieval system, provides a fast and easy way to navigate across diverse biological databases.Comparative genome analysis tools lead to further understanding of evolution processes quickening the pace of discovery. Recent technological innovations have ignited an explosion in genome sequencing that has fundamentally changed our understanding of the biology of living organisms. This huge increase in DNA sequence data presents new challenges for the information management system and the visualization tools. New strategies have been designed to bring an order to this genome sequence shockwave and improve the usability of associated data. |
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Mendeley readers
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Immunology and Microbiology | 2 | 8% |
Other | 2 | 8% |
Unknown | 7 | 28% |