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SoyXpress: A database for exploring the soybean transcriptome

BACKGROUND: Experiments using whole transcriptome microarrays produce massive amounts of data. To gain a comprehensive understanding of this gene expression data it needs to be integrated with other available information such as gene function and metabolic pathways. Bioinformatics tools are essentia...

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Autores principales: Cheng, Kei Chin Christine, Strömvik, Martina V
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2536680/
https://www.ncbi.nlm.nih.gov/pubmed/18671881
http://dx.doi.org/10.1186/1471-2164-9-368
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author Cheng, Kei Chin Christine
Strömvik, Martina V
author_facet Cheng, Kei Chin Christine
Strömvik, Martina V
author_sort Cheng, Kei Chin Christine
collection PubMed
description BACKGROUND: Experiments using whole transcriptome microarrays produce massive amounts of data. To gain a comprehensive understanding of this gene expression data it needs to be integrated with other available information such as gene function and metabolic pathways. Bioinformatics tools are essential to handle, organize and interpret the results. To date, no database provides whole transcriptome analysis capabilities integrated with terms describing biological functions for soybean (Glycine max (L) Merr.). To this end we have developed SoyXpress, a relational database with a suite of web interfaces to allow users to easily retrieve data and results of the microarray experiment with cross-referenced annotations of expressed sequence tags (EST) and hyperlinks to external public databases. This environment makes it possible to explore differences in gene expression, if any, between for instance transgenic and non-transgenic soybean cultivars and to interpret the results based on gene functional annotations to determine any changes that could potentially alter biological processes. RESULTS: SoyXpress is a database designed for exploring the soybean transcriptome. Currently SoyXpress houses 380,095 soybean Expressed Sequence Tags (EST), linked with metabolic pathways, Gene Ontology terms, SwissProt identifiers and Affymetrix gene expression data. Array data is presently available from an experiment profiling global gene expression of three conventional and two genetically engineered soybean cultivars. The microarray data is linked with the sequence data, for maximum knowledge extraction. SoyXpress is implemented in MySQL and uses a Perl CGI interface. CONCLUSION: SoyXpress is designed for the purpose of exploring potential transcriptome differences in different plant genotypes, including genetically modified crops. Soybean EST sequences, microarray and pathway data as well as searchable and browsable gene ontology are integrated and presented. SoyXpress is publicly accessible at .
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spelling pubmed-25366802008-09-16 SoyXpress: A database for exploring the soybean transcriptome Cheng, Kei Chin Christine Strömvik, Martina V BMC Genomics Database BACKGROUND: Experiments using whole transcriptome microarrays produce massive amounts of data. To gain a comprehensive understanding of this gene expression data it needs to be integrated with other available information such as gene function and metabolic pathways. Bioinformatics tools are essential to handle, organize and interpret the results. To date, no database provides whole transcriptome analysis capabilities integrated with terms describing biological functions for soybean (Glycine max (L) Merr.). To this end we have developed SoyXpress, a relational database with a suite of web interfaces to allow users to easily retrieve data and results of the microarray experiment with cross-referenced annotations of expressed sequence tags (EST) and hyperlinks to external public databases. This environment makes it possible to explore differences in gene expression, if any, between for instance transgenic and non-transgenic soybean cultivars and to interpret the results based on gene functional annotations to determine any changes that could potentially alter biological processes. RESULTS: SoyXpress is a database designed for exploring the soybean transcriptome. Currently SoyXpress houses 380,095 soybean Expressed Sequence Tags (EST), linked with metabolic pathways, Gene Ontology terms, SwissProt identifiers and Affymetrix gene expression data. Array data is presently available from an experiment profiling global gene expression of three conventional and two genetically engineered soybean cultivars. The microarray data is linked with the sequence data, for maximum knowledge extraction. SoyXpress is implemented in MySQL and uses a Perl CGI interface. CONCLUSION: SoyXpress is designed for the purpose of exploring potential transcriptome differences in different plant genotypes, including genetically modified crops. Soybean EST sequences, microarray and pathway data as well as searchable and browsable gene ontology are integrated and presented. SoyXpress is publicly accessible at . BioMed Central 2008-08-01 /pmc/articles/PMC2536680/ /pubmed/18671881 http://dx.doi.org/10.1186/1471-2164-9-368 Text en Copyright © 2008 Cheng and Strömvik; 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 Database
Cheng, Kei Chin Christine
Strömvik, Martina V
SoyXpress: A database for exploring the soybean transcriptome
title SoyXpress: A database for exploring the soybean transcriptome
title_full SoyXpress: A database for exploring the soybean transcriptome
title_fullStr SoyXpress: A database for exploring the soybean transcriptome
title_full_unstemmed SoyXpress: A database for exploring the soybean transcriptome
title_short SoyXpress: A database for exploring the soybean transcriptome
title_sort soyxpress: a database for exploring the soybean transcriptome
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2536680/
https://www.ncbi.nlm.nih.gov/pubmed/18671881
http://dx.doi.org/10.1186/1471-2164-9-368
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