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GeneHub-GEPIS: digital expression profiling for normal and cancer tissues based on an integrated gene database

GeneHub-GEPIS is a web application that performs digital expression analysis in human and mouse tissues based on an integrated gene database. Using aggregated expressed sequence tag (EST) library information and EST counts, the application calculates the normalized gene expression levels across a la...

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Detalles Bibliográficos
Autores principales: Zhang, Yan, Luoh, Shiuh-Ming, Hon, Lawrence S., Baertsch, Robert, Wood, William I., Zhang, Zemin
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1933245/
https://www.ncbi.nlm.nih.gov/pubmed/17545196
http://dx.doi.org/10.1093/nar/gkm381
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author Zhang, Yan
Luoh, Shiuh-Ming
Hon, Lawrence S.
Baertsch, Robert
Wood, William I.
Zhang, Zemin
author_facet Zhang, Yan
Luoh, Shiuh-Ming
Hon, Lawrence S.
Baertsch, Robert
Wood, William I.
Zhang, Zemin
author_sort Zhang, Yan
collection PubMed
description GeneHub-GEPIS is a web application that performs digital expression analysis in human and mouse tissues based on an integrated gene database. Using aggregated expressed sequence tag (EST) library information and EST counts, the application calculates the normalized gene expression levels across a large panel of normal and tumor tissues, thus providing rapid expression profiling for a given gene. The backend GeneHub component of the application contains pre-defined gene structures derived from mRNA transcript sequences from major databases and includes extensive cross references for commonly used gene identifiers. ESTs are then linked to genes based on their precise genomic locations as determined by GMAP. This genome-based approach reduces incorrect matches between ESTs and genes, thus minimizing the noise seen with previous tools. In addition, the gene-centric design makes it possible to add several important features, including text searching capabilities, the ability to accept diverse input values, expression analysis for microRNAs, basic gene annotation, batch analysis and linking between mouse and human genes. GeneHub-GEPIS is available at http://www.cgl.ucsf.edu/Research/genentech/genehub-gepis/ or http://www.gepis.org/.
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spelling pubmed-19332452007-07-31 GeneHub-GEPIS: digital expression profiling for normal and cancer tissues based on an integrated gene database Zhang, Yan Luoh, Shiuh-Ming Hon, Lawrence S. Baertsch, Robert Wood, William I. Zhang, Zemin Nucleic Acids Res Articles GeneHub-GEPIS is a web application that performs digital expression analysis in human and mouse tissues based on an integrated gene database. Using aggregated expressed sequence tag (EST) library information and EST counts, the application calculates the normalized gene expression levels across a large panel of normal and tumor tissues, thus providing rapid expression profiling for a given gene. The backend GeneHub component of the application contains pre-defined gene structures derived from mRNA transcript sequences from major databases and includes extensive cross references for commonly used gene identifiers. ESTs are then linked to genes based on their precise genomic locations as determined by GMAP. This genome-based approach reduces incorrect matches between ESTs and genes, thus minimizing the noise seen with previous tools. In addition, the gene-centric design makes it possible to add several important features, including text searching capabilities, the ability to accept diverse input values, expression analysis for microRNAs, basic gene annotation, batch analysis and linking between mouse and human genes. GeneHub-GEPIS is available at http://www.cgl.ucsf.edu/Research/genentech/genehub-gepis/ or http://www.gepis.org/. Oxford University Press 2007-07 2007-06-01 /pmc/articles/PMC1933245/ /pubmed/17545196 http://dx.doi.org/10.1093/nar/gkm381 Text en © 2007 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Zhang, Yan
Luoh, Shiuh-Ming
Hon, Lawrence S.
Baertsch, Robert
Wood, William I.
Zhang, Zemin
GeneHub-GEPIS: digital expression profiling for normal and cancer tissues based on an integrated gene database
title GeneHub-GEPIS: digital expression profiling for normal and cancer tissues based on an integrated gene database
title_full GeneHub-GEPIS: digital expression profiling for normal and cancer tissues based on an integrated gene database
title_fullStr GeneHub-GEPIS: digital expression profiling for normal and cancer tissues based on an integrated gene database
title_full_unstemmed GeneHub-GEPIS: digital expression profiling for normal and cancer tissues based on an integrated gene database
title_short GeneHub-GEPIS: digital expression profiling for normal and cancer tissues based on an integrated gene database
title_sort genehub-gepis: digital expression profiling for normal and cancer tissues based on an integrated gene database
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1933245/
https://www.ncbi.nlm.nih.gov/pubmed/17545196
http://dx.doi.org/10.1093/nar/gkm381
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