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Author: Tatiana Tatusova

Affiliation: National Center for Biotechnology Information, United States

Keyword(s): Database, Sequence analysis, Metagenomics.

Abstract: Metagenome sequencing projects are generating unprecedented amounts of data. Public sequence archive databases are challenged with large-scale data management issues including data storage, quick search and retrieval of the sequence data for further analysis. The sequence data is linked to the rich set of metadata attributes such as geochemical and ecological parameters for environmental projects and clinical patient in-formation for human microbiome studies. That complex collection of heterogeneous information has to be integrated, organized and presented to the users in a meaningful and the most useful way. For the last 20 years The National Center for Biotechnology Information (NCBI) has been developing the infrastructure that allows an easy storage and distribution of various types of bimolecular data as well as data integration and easy navigation in complex information space. Here we describe NCBI resources that are used for me-tagenomics data management.

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Paper citation in several formats:
Tatusova, T. (2011). INFRASTRUCTURE FOR METAGENOME DATA MANAGEMENT AND ANALYSIS. In Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms (BIOSTEC 2011) - Meta; ISBN 978-989-8425-36-2; ISSN 2184-4305, SciTePress, pages 357-362. DOI: 10.5220/0003333803570362

@conference{meta11,
author={Tatiana Tatusova.},
title={INFRASTRUCTURE FOR METAGENOME DATA MANAGEMENT AND ANALYSIS},
booktitle={Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms (BIOSTEC 2011) - Meta},
year={2011},
pages={357-362},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003333803570362},
isbn={978-989-8425-36-2},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms (BIOSTEC 2011) - Meta
TI - INFRASTRUCTURE FOR METAGENOME DATA MANAGEMENT AND ANALYSIS
SN - 978-989-8425-36-2
IS - 2184-4305
AU - Tatusova, T.
PY - 2011
SP - 357
EP - 362
DO - 10.5220/0003333803570362
PB - SciTePress