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ebTrack: an environmental bioinformatics system built upon ArrayTrack™
ebTrack is being developed as an integrated bioinformatics system for environmental research and analysis by addressing the issues of integration, curation, management, first level analysis and interpretation of environmental and toxicological data from diverse sources. It is based on enhancements t...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2654488/ https://www.ncbi.nlm.nih.gov/pubmed/19278561 |
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author | Chen, Minjun Martin, Jackson Fang, Hong Isukapalli, Sastry Georgopoulos, Panos G Welsh, William J Tong, Weida |
author_facet | Chen, Minjun Martin, Jackson Fang, Hong Isukapalli, Sastry Georgopoulos, Panos G Welsh, William J Tong, Weida |
author_sort | Chen, Minjun |
collection | PubMed |
description | ebTrack is being developed as an integrated bioinformatics system for environmental research and analysis by addressing the issues of integration, curation, management, first level analysis and interpretation of environmental and toxicological data from diverse sources. It is based on enhancements to the US FDA developed ArrayTrack™ system through additional analysis modules for gene expression data as well as through incorporation and linkages to modules for analysis of proteomic and metabonomic datasets that include tandem mass spectra. ebTrack uses a client-server architecture with the free and open source PostgreSQL as its database engine, and java tools for user interface, analysis, visualization, and web-based deployment. Several predictive tools that are critical for environmental health research are currently supported in ebTrack, including Significance Analysis of Microarray (SAM). Furthermore, new tools are under continuous integration, and interfaces to environmental health risk analysis tools are being developed in order to make ebTrack widely usable. These health risk analysis tools include the Modeling ENvironment for TOtal Risk studies (MENTOR) for source-to-dose exposure modeling and the DOse Response Information ANalysis system (DORIAN) for health outcome modeling. The design of ebTrack is presented in detail and steps involved in its application are summarized through an illustrative application. |
format | Text |
id | pubmed-2654488 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-26544882009-03-13 ebTrack: an environmental bioinformatics system built upon ArrayTrack™ Chen, Minjun Martin, Jackson Fang, Hong Isukapalli, Sastry Georgopoulos, Panos G Welsh, William J Tong, Weida BMC Proc Proceedings ebTrack is being developed as an integrated bioinformatics system for environmental research and analysis by addressing the issues of integration, curation, management, first level analysis and interpretation of environmental and toxicological data from diverse sources. It is based on enhancements to the US FDA developed ArrayTrack™ system through additional analysis modules for gene expression data as well as through incorporation and linkages to modules for analysis of proteomic and metabonomic datasets that include tandem mass spectra. ebTrack uses a client-server architecture with the free and open source PostgreSQL as its database engine, and java tools for user interface, analysis, visualization, and web-based deployment. Several predictive tools that are critical for environmental health research are currently supported in ebTrack, including Significance Analysis of Microarray (SAM). Furthermore, new tools are under continuous integration, and interfaces to environmental health risk analysis tools are being developed in order to make ebTrack widely usable. These health risk analysis tools include the Modeling ENvironment for TOtal Risk studies (MENTOR) for source-to-dose exposure modeling and the DOse Response Information ANalysis system (DORIAN) for health outcome modeling. The design of ebTrack is presented in detail and steps involved in its application are summarized through an illustrative application. BioMed Central 2009-03-10 /pmc/articles/PMC2654488/ /pubmed/19278561 Text en Copyright © 2009 Chen et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Proceedings Chen, Minjun Martin, Jackson Fang, Hong Isukapalli, Sastry Georgopoulos, Panos G Welsh, William J Tong, Weida ebTrack: an environmental bioinformatics system built upon ArrayTrack™ |
title | ebTrack: an environmental bioinformatics system built upon ArrayTrack™ |
title_full | ebTrack: an environmental bioinformatics system built upon ArrayTrack™ |
title_fullStr | ebTrack: an environmental bioinformatics system built upon ArrayTrack™ |
title_full_unstemmed | ebTrack: an environmental bioinformatics system built upon ArrayTrack™ |
title_short | ebTrack: an environmental bioinformatics system built upon ArrayTrack™ |
title_sort | ebtrack: an environmental bioinformatics system built upon arraytrack™ |
topic | Proceedings |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2654488/ https://www.ncbi.nlm.nih.gov/pubmed/19278561 |
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