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Genomic Databases and Resources at the National Center for Biotechnology Information

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Data Mining Techniques for the Life Sciences

Part of the book series: Methods in Molecular Biology ((MIMB,volume 609))

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 Web site. Entrez, a text-based search and retrieval system, provides a fast and easy way to navigate across diverse biological databases.

Customized genomic BLAST enables sequence similarity searches against a special collection of organism-specific sequence data and viewing the resulting alignments within a genomic context using NCBI’s genome browser, Map Viewer.

Comparative genome analysis tools lead to further understanding of evolutionary processes, quickening the pace of discovery.

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Acknowledgments

The authors would like to thank, in alphabetic order, Vyacheslav Chetvernin, Boris Fedorov, Andrei Kochergin, Peter Meric and Sergei Resenchuk, and Martin Shumway for their expertise and diligence in the design and maintenance of the databases highlighted in this publication and Stacy Ciufo for the helpful discussion and comments. These projects represent the efforts of many NCBI staff members along with the collective contributions of many dedicated scientists worldwide.

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Authors and Affiliations

  1. National Institute of Heath, Bethesda, MD, USA

    Tatiana Tatusova

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  1. Tatiana Tatusova
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Editors and Affiliations

  1. Max F. Perutz Laboratories GmbH, Universität Wien, Dr. Bohr-Gasse 9, Wien, 1030, Austria

    Oliviero Carugo

  2. Research (A*STAR), Agency for Science & Technology, Biopolis Street 30, Singapore, 138671, Singapore

    Frank Eisenhaber

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Tatusova, T. (2010). Genomic Databases and Resources at the National Center for Biotechnology Information. In: Carugo, O., Eisenhaber, F. (eds) Data Mining Techniques for the Life Sciences. Methods in Molecular Biology, vol 609. Humana Press. https://doi.org/10.1007/978-1-60327-241-4_2

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  • DOI: https://doi.org/10.1007/978-1-60327-241-4_2

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  • Publisher Name: Humana Press

  • Print ISBN: 978-1-60327-240-7

  • Online ISBN: 978-1-60327-241-4

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