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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...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2007
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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/. |
format | Text |
id | pubmed-1933245 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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