MetaRouter: bioinformatics for bioremediation

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MetaRouter: bioinformatics for bioremediation (2005)

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by Florencio Pazos , David Guijas , Alfonso Valencia , Victor De Lorenzo

Venue:	Nucleic Acids Res
Citations:	5 - 1 self

BibTeX

@ARTICLE{Pazos05metarouter:bioinformatics,
    author = {Florencio Pazos and David Guijas and Alfonso Valencia and Victor De Lorenzo},
    title = {MetaRouter: bioinformatics for bioremediation},
    journal = {Nucleic Acids Res},
    year = {2005},
    volume = {33},
    pages = {588--592}
}

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Abstract

Bioremediation, the exploitation of biological catalysts (mostly microorganisms) for removing pollutants from the environment, requires the integration of huge amounts of data from different sources. We have developed MetaRouter, a system for maintaining heterogeneous information related to bioremediation in a framework that allows its query, administration and mining (application of methods for extracting new knowledge). MetaRouter is an application intended for laboratories working in biodegradation and bioremediation, which need to maintain and consult public and private data, linked internally and with external databases, and to extract new information from it. Among the data-mining features is a program included for locating biodegradative pathways for chemical compounds according to a given set of constraints and requirements. The integration of biodegradation information with the corresponding protein and genome data provides a suitable framework for studying the global properties of the bioremediation network. The system can be accessed and administrated through a web interface. The fullfeatured system (except administration facilities) is freely available at

Keyphrases

huge amount global property different source fullfeatured system heterogeneous information biodegradative pathway new knowledge bioremediation network new information biodegradation information administration facility private data biological catalyst chemical compound corresponding protein external database genome data data-mining feature suitable framework web interface

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