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StressDB: A Locally Installable Web-Based Relational Microarray Database Designed for Small User Communities

We have built a microarray database, StressDB, for management of microarray data from our studies on stress-modulated genes in Arabidopsis. StressDB provides small user groups with a locally installable web-based relational microarray database. It has a simple and intuitive architecture and has been...

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Detalles Bibliográficos
Autores principales: Mitra, Madhusmita, Shah, Nigam, Mueller, Lukas, Pin, Scuth, Fedoroff, Nina
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2002
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2447266/
https://www.ncbi.nlm.nih.gov/pubmed/18628845
http://dx.doi.org/10.1002/cfg.153
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author Mitra, Madhusmita
Shah, Nigam
Mueller, Lukas
Pin, Scuth
Fedoroff, Nina
author_facet Mitra, Madhusmita
Shah, Nigam
Mueller, Lukas
Pin, Scuth
Fedoroff, Nina
author_sort Mitra, Madhusmita
collection PubMed
description We have built a microarray database, StressDB, for management of microarray data from our studies on stress-modulated genes in Arabidopsis. StressDB provides small user groups with a locally installable web-based relational microarray database. It has a simple and intuitive architecture and has been designed for cDNA microarray technology users. StressDB uses Windows(™) 2000 as the centralized database server with Oracle(™) 8i as the relational database management system. It allows users to manage microarray data and data-related biological information over the Internet using a web browser. The source-code is currently available on request from the authors and will soon be made freely available for downloading from our website athttp://arastressdb.cac.psu.edu.
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spelling pubmed-24472662008-07-14 StressDB: A Locally Installable Web-Based Relational Microarray Database Designed for Small User Communities Mitra, Madhusmita Shah, Nigam Mueller, Lukas Pin, Scuth Fedoroff, Nina Comp Funct Genomics Research Article We have built a microarray database, StressDB, for management of microarray data from our studies on stress-modulated genes in Arabidopsis. StressDB provides small user groups with a locally installable web-based relational microarray database. It has a simple and intuitive architecture and has been designed for cDNA microarray technology users. StressDB uses Windows(™) 2000 as the centralized database server with Oracle(™) 8i as the relational database management system. It allows users to manage microarray data and data-related biological information over the Internet using a web browser. The source-code is currently available on request from the authors and will soon be made freely available for downloading from our website athttp://arastressdb.cac.psu.edu. Hindawi Publishing Corporation 2002-04 /pmc/articles/PMC2447266/ /pubmed/18628845 http://dx.doi.org/10.1002/cfg.153 Text en Copyright © 2002 Hindawi Publishing Corporation. http://creativecommons.org/licenses/by/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Mitra, Madhusmita
Shah, Nigam
Mueller, Lukas
Pin, Scuth
Fedoroff, Nina
StressDB: A Locally Installable Web-Based Relational Microarray Database Designed for Small User Communities
title StressDB: A Locally Installable Web-Based Relational Microarray Database Designed for Small User Communities
title_full StressDB: A Locally Installable Web-Based Relational Microarray Database Designed for Small User Communities
title_fullStr StressDB: A Locally Installable Web-Based Relational Microarray Database Designed for Small User Communities
title_full_unstemmed StressDB: A Locally Installable Web-Based Relational Microarray Database Designed for Small User Communities
title_short StressDB: A Locally Installable Web-Based Relational Microarray Database Designed for Small User Communities
title_sort stressdb: a locally installable web-based relational microarray database designed for small user communities
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2447266/
https://www.ncbi.nlm.nih.gov/pubmed/18628845
http://dx.doi.org/10.1002/cfg.153
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